One night stand : only you

Technical: This looped video work is made up from a number of still images animated in a sequence, not intended to be a smooth action, but syncopated. The gaps in real time suggest blinking, lapses in technology, warps in time and distance. The still images have been manipulated in photoshop and imported into an animation software program, showing subtle emphasis on various aspects of the features of the face and location from the screen shots. Content: Obsession is one of the most constant expressions of love, whether it is a negative attribute, such as stalking, or the need to see or stroke the beloved, or telling and re-telling the story of first meeting. “like the beat, beat, beat of the tom tom when the jungle shadows fall like the tick, tick, tock of the stately clock as it stands against the wall like the drip, drip drip of the rain drops when the summer shower’s through a voice within me keeps repeating you, you, you… only you...” (Cole Porter, Night and Day) My desire to immerse myself in my newly-met adult daughter as a reality is as obsessive as any new parent. The primary means of contact is video cam, which has become a kind of surveillance for me. I stare at her mouth as it moves, her ear as she moves her head, her smile, her grimaces, her high cheekbones, her eyes that are like mine, the shape of her head, her teeth that are like her father’s… hundreds of candid pictures screen shot over a year and a half were the source of the video images.

Temporalité et surveillance dans l'art de David Rokeby

Pour respecter les droits d'auteur, la version électronique de ce mémoire à été dépouillée de ses documents visuels et audio-visuels. La version intégrale du mémoire a été déposée au Service de la gestion des documents et des archives de l'Université de Montréal.

Variable message signing for traffic surveillance and control - a state of the art report. Final report.

Mode of access: Internet.

Operator's and organizational maintenance manual : detecting sets, infrared AN/AAS-14A and AN/AAS-14B and transmitter, radio AN/ART-41A (airborne components of surveillance system, infrared AN/UAS-4A) and cable assembly sets, electrical MX-7268/AAS-14A and MX-7270/UAS-4A.

"5 August 1966."

On the statistical determination of optimal camera configurations in large scale surveillance networks

The selection of optimal camera configurations (camera locations, orientations etc.) for multi-camera networks remains an unsolved problem. Previous approaches largely focus on proposing various objective functions to achieve different tasks. Most of them, however, do not generalize well to large scale networks. To tackle this, we introduce a statistical formulation of the optimal selection of camera configurations as well as propose a Trans-Dimensional Simulated Annealing (TDSA) algorithm to effectively solve the problem. We compare our approach with a state-of-the-art method based on Binary Integer Programming (BIP) and show that our approach offers similar performance on small scale problems. However, we also demonstrate the capability of our approach in dealing with large scale problems and show that our approach produces better results than 2 alternative heuristics designed to deal with the scalability issue of BIP.

RAPID HUMAN ACTION RECOGNITION IN H.264/AVC COMPRESSED DOMAIN FOR VIDEO SURVEILLANCE

This paper discusses a novel high-speed approach for human action recognition in H. 264/AVC compressed domain. The proposed algorithm utilizes cues from quantization parameters and motion vectors extracted from the compressed video sequence for feature extraction and further classification using Support Vector Machines (SVM). The ultimate goal of our work is to portray a much faster algorithm than pixel domain counterparts, with comparable accuracy, utilizing only the sparse information from compressed video. Partial decoding rules out the complexity of full decoding, and minimizes computational load and memory usage, which can effect in reduced hardware utilization and fast recognition results. The proposed approach can handle illumination changes, scale, and appearance variations, and is robust in outdoor as well as indoor testing scenarios. We have tested our method on two benchmark action datasets and achieved more than 85% accuracy. The proposed algorithm classifies actions with speed (>2000 fps) approximately 100 times more than existing state-of-the-art pixel-domain algorithms.

Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images

Head pose classification from surveillance images acquired with distant, large field-of-view cameras is difficult as faces are captured at low-resolution and have a blurred appearance. Domain adaptation approaches are useful for transferring knowledge from the training (source) to the test (target) data when they have different attributes, minimizing target data labeling efforts in the process. This paper examines the use of transfer learning for efficient multi-view head pose classification with minimal target training data under three challenging situations: (i) where the range of head poses in the source and target images is different, (ii) where source images capture a stationary person while target images capture a moving person whose facial appearance varies under motion due to changing perspective, scale and (iii) a combination of (i) and (ii). On the whole, the presented methods represent novel transfer learning solutions employed in the context of multi-view head pose classification. We demonstrate that the proposed solutions considerably outperform the state-of-the-art through extensive experimental validation. Finally, the DPOSE dataset compiled for benchmarking head pose classification performance with moving persons, and to aid behavioral understanding applications is presented in this work.

Range-Gated Laser Stroboscopic Imaging for Night Remote Surveillance

For night remote surveillance, we present a method, the range-gated laser stroboscopic imaging(RGLSI), which uses a new kind of time delay integration mode to integrate target signals so that night remote surveillance can be realized by a low-energy illuminated laser. The time delay integration in this method has no influence on the video frame rate. Compared with the traditional range-gated laser imaging, RGLSI can reduce scintillation and target speckle effects and significantly improve the image signal-to-noise ratio analyzed. Even under low light level and low visibility conditions, the RGLSI system can effectively work. In a preliminary experiment, we have detected and recognized a railway bridge one kilometer away under a visibility of six kilometers, when the effective illuminated energy is 29.5 mu J.

Biologically Inspired Features for Scene Classification in Video Surveillance

Inspired by human visual cognition mechanism, this paper first presents a scene classification method based on an improved standard model feature. Compared with state-of-the-art efforts in scene classification, the newly proposed method is more robust, more selective, and of lower complexity. These advantages are demonstrated by two sets of experiments on both our own database and standard public ones. Furthermore, occlusion and disorder problems in scene classification in video surveillance are also first studied in this paper.

Evaluation and Potential Cost-Effectiveness of Active Surveillance Pharmacovigilance for First-Line HAART in Namibia

Thesis (Ph.D.)--University of Washington, 2016-02

L'art contemporain à l'ère des glissements du privé vers le public : pour une relecture de la vie privée

Ce mémoire de maîtrise porte principalement sur les œuvres des artistes Sophie Calle, Sylvie Cotton, Donigan Cumming, Martin Dufrasne et Marc-Antoine K. Phaneuf. L’objectif de cette recherche est d’observer les différents allers-retours qu’ils effectuent dans leur pratique entre la sphère privée et la sphère publique et qui problématisent notre rapport à l’intimité. Dans le premier chapitre, je déterminerai ce qui caractérise respectivement l’espace public et l’espace privé, pour ensuite cibler les lieux et les figures de l’intime. Dans le deuxième chapitre, seront étudiés les gestes et les méthodes d’appropriation de la sphère privée par les artistes à l’aide de la pratique de la collection, la pratique ethnographique ainsi que la pratique de la surveillance. L’impact de ces pratiques sur l’investissement de l’artiste dans la durée est relevé, ainsi que leur inscription dans un art dit contextuel. Enfin, je terminerai par une réflexion sur ma propre pratique, en considérant ce qui l’apparente et la distingue des artistes étudiés dans celui-ci.

The future of video analytics for surveillance and its ethical implications

The current state of the art and direction of research in computer vision aimed at automating the analysis of CCTV images is presented. This includes low level identification of objects within the field of view of cameras, following those objects over time and between cameras, and the interpretation of those objects’ appearance and movements with respect to models of behaviour (and therefore intentions inferred). The potential ethical problems (and some potential opportunities) such developments may pose if and when deployed in the real world are presented, and suggestions made as to the necessary new regulations which will be needed if such systems are not to further enhance the power of the surveillers against the surveilled.