Detecting single-target changes in multiple object tracking: The case of peripheral vision.

In sports games, it is often necessary to perceive a large number of moving objects (e.g., the ball and players). In this context, the role of peripheral vision for processing motion information in the periphery is often discussed especially when motor responses are required. In an attempt to test the basal functionality of peripheral vision in those sports-games situations, a Multiple Object Tracking (MOT) task that requires to track a certain number of targets amidst distractors, was chosen. Participants’ primary task was to recall four targets (out of 10 rectangular stimuli) after six seconds of quasi-random motion. As a second task, a button had to be pressed if a target change occurred (Exp 1: stop vs. form change to a diamond for 0.5 s; Exp 2: stop vs. slowdown for 0.5 s). While eccentricities of changes (5-10° vs. 15-20°) were manipulated, decision accuracy (recall and button press correct), motor response time as well as saccadic reaction time were calculated as dependent variables. Results show that participants indeed used peripheral vision to detect changes, because either no or very late saccades to the changed target were executed in correct trials. Moreover, a saccade was more often executed when eccentricities were small. Response accuracies were higher and response times were lower in the stop conditions of both experiments while larger eccentricities led to higher response times in all conditions. Summing up, it could be shown that monitoring targets and detecting changes can be processed by peripheral vision only and that a monitoring strategy on the basis of peripheral vision may be the optimal one as saccades may be afflicted with certain costs. Further research is planned to address the question whether this functionality is also evident in sports tasks.

Detecting single-target changes in multiple object tracking: The case of peripheral vision

In sports games, it is often necessary to perceive a large number of moving objects (e.g., the ball and players). In this context, the role of peripheral vision for processing motion information in the periphery is often discussed especially when motor responses are required. In an attempt to test the capability of using peripheral vision in those sports-games situations, a Multiple-Object-Tracking task that requires to track a certain number of targets amidst distractors, was chosen to determine the sensitivity of detecting target changes with peripheral vision only. Participants’ primary task was to recall four targets (out of 10 rectangular stimuli) after six seconds of quasi-random motion. As a second task, a button had to be pressed if a target change occurred (Exp 1: stop vs. form change to a diamond for 0.5 s; Exp 2: stop vs. slowdown for 0.5 s). Eccentricities of changes (5-10° vs. 15-20°) were manipulated, decision accuracy (recall and button press correct), motor response time and saccadic reaction time (change onset to saccade onset) were calculated and eye-movements were recorded. Results show that participants indeed used peripheral vision to detect changes, because either no or very late saccades to the changed target were executed in correct trials. Moreover, a saccade was more often executed when eccentricities were small. Response accuracies were higher and response times were lower in the stop conditions of both experiments while larger eccentricities led to higher response times in all conditions. Summing up, it could be shown that monitoring targets and detecting changes can be processed by peripheral vision only and that a monitoring strategy on the basis of peripheral vision may be the optimal one as saccades may be afflicted with certain costs. Further research is planned to address the question whether this functionality is also evident in sports tasks.

Detecting single-target changes in multiple object tracking: The case of peripheral vision

In the current study it is investigated whether peripheral vision can be used to monitor multi-ple moving objects and to detect single-target changes. For this purpose, in Experiment 1, a modified MOT setup with a large projection and a constant-position centroid phase had to be checked first. Classical findings regarding the use of a virtual centroid to track multiple ob-jects and the dependency of tracking accuracy on target speed could be successfully replicat-ed. Thereafter, the main experimental variations regarding the manipulation of to-be-detected target changes could be introduced in Experiment 2. In addition to a button press used for the detection task, gaze behavior was assessed using an integrated eye-tracking system. The anal-ysis of saccadic reaction times in relation to the motor response shows that peripheral vision is naturally used to detect motion and form changes in MOT because the saccade to the target occurred after target-change offset. Furthermore, for changes of comparable task difficulties, motion changes are detected better by peripheral vision than form changes. Findings indicate that capabilities of the visual system (e.g., visual acuity) affect change detection rates and that covert-attention processes may be affected by vision-related aspects like spatial uncertainty. Moreover, it is argued that a centroid-MOT strategy might reduce the amount of saccade-related costs and that eye-tracking seems to be generally valuable to test predictions derived from theories on MOT. Finally, implications for testing covert attention in applied settings are proposed.

Periphere Wahrnehmung beim Verfolgen mehrerer Objekte

Einleitung Beim Multiple-Object-Tracking müssen mehrere, sich bewegende Zielobjekte visuell ver-folgt werden. Dabei scheint es vorteilhaft zu sein, den Blick zwischen den Zielobjekten zu verankern, um Bewegungsinformationen peripher wahrzunehmen (Fehd & Seiffert, 2010). Nach Prüfung dieser Annahme (Experiment 1) wurde getestet, wie gut und schnell auf Bewegungs- und Formveränderungen der Zielobjekte reagiert werden kann (Experiment 2), um die Funktionalität der peripheren Wahrnehmung zu überprüfen. Methode 14 Teilnehmer hatten die Aufgabe, zum Ende eines Einzelversuchs 4 aus 10 Vierecken wiederzuerkennen, die sich linear für 6 s in einem projizierten Quadrat bewegten. Dabei wurden 3 Geschwindigkeiten (6, 9 und 12°/s) in 9 Blöcken à 15 Versuchen präsentiert, um herauszufinden, bei welcher Geschwindigkeit der Blickpunkt die längste Zeit auf dem Centroid der 4 Zielobjekte liegt und damit die Zielobjekte lange peripher wahrgenommen werden. In Experiment 2 sollten Teilnehmer bei dieser „optimalen“ Geschwindigkeit auf das Anhalten der Vierecke oder deren Formveränderung zur Raute (Manipulation:0.5 s) mit Knopfdruck reagieren, bei ausbleibender Veränderung hingegen die 4 Zielobjekte wiedererkennen (3 Bedingungen in 10 Blöcken à 12 Versuchen). Erwartet wurde, dass Bewegungsveränderungen häufiger und schneller erkannt werden als Formverände-rungen. Ergebnisse Der Geschwindigkeitsvergleich in Experiment 1 ergab, dass der Blick bei 6°/s die längste Zeit (46 %) auf den Centroid gerichtet ist, F(2,132) = 9.68, p < .01, ηp2 = .13 und die 4 Ziel-objekte bei dieser Geschwindigkeit signifikant häufiger wiedererkannt werden (59 %), F(2,132) = 37.62, p < .01, ηp2 = .36. In Experiment 2 wurde festgestellt, dass Bewegungs-veränderungen häufiger erkannt werden (83 %) als Formveränderungen (59 %), F(1,78) = 65.52, p < .01, ηp2 = .46, wobei die Erkennungsleistung der 4 Zielobjekte mit Experiment 1 vergleichbar ist (58%). Diskussion Die periphere Wahrnehmung scheint immer dann funktional zu sein, wenn mehrere, für eine Aufgabe relevante Objekte gleichzeitig verfolgt werden müssen und wenn Verände-rungen, besonders der Bewegung, schnell erkannt werden müssen. Weitere Untersu-chungen sollen zeigen, ob diese Funktionalität der peripheren Wahrnehmung auch im Sport (z.B. beim gleichzeitigen Verfolgen mehrerer Gegenspieler) erkannt werden kann. Literatur Fehd, H. M. & Seiffert, A. E. (2010). Looking at the center of the targets helps multiple object tracking. Journal of Vision, 10, 1–13.

Funktionalität peripherer Wahrnehmung bei Trackingaufgaben

Introduction: Beim Multiple-Object-Tracking müssen mehrere, sich bewegende Zielobjekte visuell verfolgt werden. Dabei scheint es vorteilhaft zu sein, den Blick zwischen den Zielobjekten zu verankern, um Bewegungsinformationen peripher wahrzunehmen (Fehd & Seiffert, 2010). Nach Prüfung dieser Annahme (Experiment 1) wurde getestet, wie gut und schnell auf Bewegungs- und Formveränderungen der Zielobjekte reagiert werden kann (Experiment 2), um die Funktionalität der peripheren Wahrnehmung zu überprüfen. Methods: 14 Teilnehmer hatten die Aufgabe, zum Ende eines Einzelversuchs 4 aus 10 Vierecken wiederzuerkennen, die sich linear für 6 s in einem projizierten Quadrat bewegten. Dabei wurden 3 Geschwindigkeiten (6, 9 und 12°/s) in 9 Blöcken à 15 Versuchen präsentiert, um die Ergebnisse von Fehd und Seiffert (2010) zu replizieren. In Experiment 2 sollten Teilnehmer auf das Anhalten eines Targets oder dessen Formveränderung zur Raute (Manipulation: 0.5 s) mit Knopfdruck reagieren, bei ausbleibender Veränderung hingegen die 4 Zielobjekte wiedererkennen (3 Bedingungen in 10 Blöcken à 12 Versuchen). Durch die Bestimmung von Sakkadenlatenzen (definiert als Zeitraum zwischen Beginn der Objektveränderung und Sakkadenbeginn auf das Objekt) kann bestimmt werden, ob die Veränderung bereits peripher wahrgenommen wurde. Unter anderem aufgrund der Sensitivität der Netzhaut gegenüber Bewegungen wurde erwartet, dass Bewegungsveränderungen häufiger und schneller erkannt werden und dass häufiger bereits reagiert werden kann, bevor der Blick auf dem veränderten Zielobjekt ist. Results: Experiment 1 ergab einen signifikanten Haupteffekt für Geschwindigkeit, F(2,26) = 62.66, p < .01, ηp2 = .83, mit höchsten Richtigkeiten bei 6°/s (58%). Ein Haupteffekt für Blickort, F(2,26) = 76.40, p < .01, ηp2 = .85, zeigt, dass der Blick unabhängig von der Geschwindigkeit länger auf dem Centroid war als auf Targets und Distraktoren. Aufgrund der höchsten Richtigkeiten bei 6°/s wurde diese Geschwindigkeit in Experiment 2 eingesetzt und festgestellt, dass Bewegungsveränderungen häufiger erkannt werden (83 %) als Formveränderungen (59 %), F(1,10) = 17.20, p < .01, ηp2 = .63. Unterschiede in Sakkadenlatenzen, F(1,10) = 6.73, p = .03, ηp2 = .40, deuten auf eine periphere Wahrnehmung der Bewegungsveränderungen hin. Experiment 3 wird zeigen, ob Sakkaden das Monitoring stören. Discussion/Conclusion: Die periphere Wahrnehmung scheint immer dann funktional zu sein, wenn mehrere, für eine Aufgabe relevante Objekte gleichzeitig verfolgt werden müssen und wenn Veränderungen, besonders der Bewegung, schnell erkannt werden müssen. Weitere Untersuchungen sollen zeigen, ob diese Funktionalität der peripheren Wahrnehmung auch im Sport (z.B. beim gleichzeitigen Verfolgen mehrerer Gegenspieler) erkannt werden kann. References: Fehd, H. M. & Seiffert, A. E. (2010). Looking at the center of the targets helps multiple object tracking. Journal of Vision, 10, 1–13.

Funktionalität peripherer Wahrnehmung bei Trackingaufgaben

Schlüsselwörter: Multiple-Object-Tracking, Sakkadenlatenz, Erkennungsleistung Einleitung Beim Multiple-Object-Tracking müssen mehrere, sich bewegende Zielobjekte visuell ver-folgt werden. Dabei scheint es vorteilhaft zu sein, den Blick zwischen den Zielobjekten zu verankern, um Bewegungsinformationen peripher wahrzunehmen (Fehd & Seiffert, 2010). Nach Prüfung dieser Annahme (Experiment 1) wurde getestet, wie gut und schnell auf Bewegungs- und Formveränderungen der Zielobjekte reagiert werden kann (Experiment 2), um die Funktionalität der peripheren Wahrnehmung zu überprüfen Methode 14 Teilnehmer hatten die Aufgabe, zum Ende eines Einzelversuchs 4 aus 10 Vierecken wiederzuerkennen, die sich linear für 6 s in einem projizierten Quadrat bewegten. Dabei wurden 3 Geschwindigkeiten (6, 9 und 12°/s) in 9 Blöcken à 15 Versuchen präsentiert, um die Ergebnisse von Fehd und Seiffert (2010) zu replizieren. In Experiment 2 sollten Teilnehmer auf das Anhalten eines Targets oder dessen Formveränderung zur Raute (Manipulation: 0.5 s) mit Knopfdruck reagieren, bei ausbleibender Veränderung hinge-gen die 4 Zielobjekte wiedererkennen (3 Bedingungen in 10 Blöcken à 12 Versuchen). Erwartet wurde, dass Bewegungsveränderungen häufiger und schneller erkannt werden. Ergebnisse Experiment 1 ergab einen signifikanten Haupteffekt für Geschwindigkeit, F(2,26) = 62.66, p < .01, ηp2 = .83, mit höchsten Richtigkeiten bei 6°/s (58%). Ein Haupteffekt für Blickort, F(2,26) = 76.40, p < .01, ηp2 = .85, zeigt, dass der Blick unabhängig von der Geschwindig-keit länger auf dem Centroid war als auf Targets und Distraktoren. Aufgrund der höchs-ten Richtigkeiten bei 6°/s wurde diese Geschwindigkeit in Experiment 2 eingesetzt und festgestellt, dass Bewegungsveränderungen häufiger erkannt werden (83 %) als Form-veränderungen (59 %), F(1,10) = 17.20, p < .01, ηp2 = .63. Unterschiede in Sakkadenla-tenzen, F(1,10) = 6.73, p = .03, ηp2 = .40, deuten auf eine periphere Wahrnehmung der Bewegungsveränderungen hin. Experiment 3 wird zeigen, ob Sakkaden das Monitoring stören. Diskussion Die periphere Wahrnehmung scheint immer dann funktional zu sein, wenn mehrere, für eine Aufgabe relevante Objekte gleichzeitig verfolgt werden müssen und wenn Verände-rungen, besonders der Bewegung, schnell erkannt werden müssen. Weitere Untersu-chungen sollen zeigen, ob diese Funktionalität der peripheren Wahrnehmung auch im Sport (z.B. beim gleichzeitigen Verfolgen mehrerer Gegenspieler) erkannt werden kann. Literatur Fehd, H. M. & Seiffert, A. E. (2010). Looking at the center of the targets helps multiple object tracking. Journal of Vision, 10, 1–13.

Reduced foveal vision enhances peripheral monitoring and peripheral event detection

Introduction: Although it seems plausible that sports performance relies on high-acuity foveal vision, it could be empirically shown that myoptic blur (up to +2 diopters) does not harm performance in sport tasks that require foveal information pick-up like golf putting (Bulson, Ciuffreda, & Hung, 2008). How myoptic blur affects peripheral performance is yet unknown. Attention might be less needed for processing visual cues foveally and lead to better performance because peripheral cues are better processed as a function of reduced foveal vision, which will be tested in the current experiment. Methods: 18 sport science students with self-reported myopia volunteered as participants, all of them regularly wearing contact lenses. Exclusion criteria comprised visual correction other than myopic, correction of astigmatism and use of contact lenses out of Swiss delivery area. For each of the participants, three pairs of additional contact lenses (besides their regular lenses; used in the “plano” condition) were manufactured with an individual overcorrection to a retinal defocus of +1 to +3 diopters (referred to as “+1.00 D”, “+2.00 D”, and “+3.00 D” condition, respectively). Gaze data were acquired while participants had to perform a multiple object tracking (MOT) task that required to track 4 out of 10 moving stimuli. In addition, in 66.7 % of all trials, one of the 4 targets suddenly stopped during the motion phase for a period of 0.5 s. Stimuli moved in front of a picture of a sports hall to allow for foveal processing. Due to the directional hypotheses, the level of significance for one-tailed tests on differences was set at α = .05 and posteriori effect sizes were computed as partial eta squares (ηρ2). Results: Due to problems with the gaze-data collection, 3 participants had to be excluded from further analyses. The expectation of a centroid strategy was confirmed because gaze was closer to the centroid than the target (all p < .01). In comparison to the plano baseline, participants more often recalled all 4 targets under defocus conditions, F(1,14) = 26.13, p < .01, ηρ2 = .65. The three defocus conditions differed significantly, F(2,28) = 2.56, p = .05, ηρ2 = .16, with a higher accuracy as a function of a defocus increase and significant contrasts between conditions +1.00 D and +2.00 D (p = .03) and +1.00 D and +3.00 D (p = .03). For stop trials, significant differences could neither be found between plano baseline and defocus conditions, F(1,14) = .19, p = .67, ηρ2 = .01, nor between the three defocus conditions, F(2,28) = 1.09, p = .18, ηρ2 = .07. Participants reacted faster in “4 correct+button” trials under defocus than under plano-baseline conditions, F(1,14) = 10.77, p < .01, ηρ2 = .44. The defocus conditions differed significantly, F(2,28) = 6.16, p < .01, ηρ2 = .31, with shorter response times as a function of a defocus increase and significant contrasts between +1.00 D and +2.00 D (p = .01) and +1.00 D and +3.00 D (p < .01). Discussion: The results show that gaze behaviour in MOT is not affected to a relevant degree by a visual overcorrection up to +3 diopters. Hence, it can be taken for granted that peripheral event detection was investigated in the present study. This overcorrection, however, does not harm the capability to peripherally track objects. Moreover, if an event has to be detected peripherally, neither response accuracy nor response time is negatively affected. Findings could claim considerable relevance for all sport situations in which peripheral vision is required which now needs applied studies on this topic. References: Bulson, R. C., Ciuffreda, K. J., & Hung, G. K. (2008). The effect of retinal defocus on golf putting. Ophthalmic and Physiological Optics, 28, 334-344.

Space-based space surveillance and tracking demonstrator: mission and system design

This paper presents the capabilities of a Space-Based Space Surveillance (SBSS) demonstration mission for Space Surveillance and Tracking (SST) based on a micro-satellite platform. The results have been produced in the frame of ESA’s "Assessment Study for Space Based Space Surveillance Demonstration Mission" performed by the Airbus Defence and Space consortium. The assessment of SBSS in an SST system architecture has shown that both an operational SBSS and also already a well- designed space-based demonstrator can provide substantial performance in terms of surveillance and tracking of beyond-LEO objects. Especially the early deployment of a demonstrator, possible by using standard equipment, could boost initial operating capability and create a self-maintained object catalogue. Furthermore, unique statistical information about small-size LEO debris (mm size) can be collected in-situ. Unlike classical technology demonstration missions, the primary goal is the demonstration and optimisation of the functional elements in a complex end-to-end chain (mission planning, observation strategies, data acquisition, processing, etc.) until the final products can be offered to the users and with low technological effort and risk. The SBSS system concept takes the ESA SST System Requirements into account and aims at fulfilling SST core requirements in a stand-alone manner. Additionally, requirements for detection and characterisation of small-sizedLEO debris are considered. The paper presents details of the system concept, candidate micro-satellite platforms, the instrument design and the operational modes. Note that the detailed results of performance simulations for space debris coverage and cataloguing accuracy are presented in a separate paper “Capability of a Space-based Space Surveillance System to Detect and Track Objects in GEO, MEO and LEO Orbits” by J. Silha (AIUB) et al., IAC-14, A6, 1.1x25640.

Unified detection and tracking of instruments during retinal microsurgery

Methods for tracking an object have generally fallen into two groups: tracking by detection and tracking through local optimization. The advantage of detection-based tracking is its ability to deal with target appearance and disappearance, but it does not naturally take advantage of target motion continuity during detection. The advantage of local optimization is efficiency and accuracy, but it requires additional algorithms to initialize tracking when the target is lost. To bridge these two approaches, we propose a framework for unified detection and tracking as a time-series Bayesian estimation problem. The basis of our approach is to treat both detection and tracking as a sequential entropy minimization problem, where the goal is to determine the parameters describing a target in each frame. To do this we integrate the Active Testing (AT) paradigm with Bayesian filtering, and this results in a framework capable of both detecting and tracking robustly in situations where the target object enters and leaves the field of view regularly. We demonstrate our approach on a retinal tool tracking problem and show through extensive experiments that our method provides an efficient and robust tracking solution.

Cue Recognition and Integration - Eye Tracking Evidence of Processing Differences in Sentence Comprehension in Aphasia

PURPOSE: We aimed at further elucidating whether aphasic patients' difficulties in understanding non-canonical sentence structures, such as Passive or Object-Verb-Subject sentences, can be attributed to impaired morphosyntactic cue recognition, and to problems in integrating competing interpretations. METHODS: A sentence-picture matching task with canonical and non-canonical spoken sentences was performed using concurrent eye tracking. Accuracy, reaction time, and eye tracking data (fixations) of 50 healthy subjects and 12 aphasic patients were analysed. RESULTS: Patients showed increased error rates and reaction times, as well as delayed fixation preferences for target pictures in non-canonical sentences. Patients' fixation patterns differed from healthy controls and revealed deficits in recognizing and immediately integrating morphosyntactic cues. CONCLUSION: Our study corroborates the notion that difficulties in understanding syntactically complex sentences are attributable to a processing deficit encompassing delayed and therefore impaired recognition and integration of cues, as well as increased competition between interpretations.

Comparison of three optical tracking systems in a complex navigation scenario

Three-dimensional rotational X-ray imaging with the SIREMOBIL Iso-C3D (Siemens AG, Medical Solutions, Erlangen, Germany) has become a well-established intra-operative imaging modality. In combination with a tracking system, the Iso-C3D provides inherently registered image volumes ready for direct navigation. This is achieved by means of a pre-calibration procedure. The aim of this study was to investigate the influence of the tracking system used on the overall navigation accuracy of direct Iso-C3D navigation. Three models of tracking system were used in the study: Two Optotrak 3020s, a Polaris P4 and a Polaris Spectra system, with both Polaris systems being in the passive operation mode. The evaluation was carried out at two different sites using two Iso-C3D devices. To measure the navigation accuracy, a number of phantom experiments were conducted using an acrylic phantom equipped with titanium spheres. After scanning, a special pointer was used to pinpoint these markers. The difference between the digitized and navigated positions served as the accuracy measure. Up to 20 phantom scans were performed for each tracking system. The average accuracy measured was 0.86 mm and 0.96 mm for the two Optotrak 3020 systems, 1.15 mm for the Polaris P4, and 1.04 mm for the Polaris Spectra system. For the Polaris systems a higher maximal error was found, but all three systems yielded similar minimal errors. On average, all tracking systems used in this study could deliver similar navigation accuracy. The passive Polaris system showed ? as expected ? higher maximal errors; however, depending on the application constraints, this might be negligible.