Robust background model for pixel based people counting using a single uncalibrated camera

Several pixel-based people counting methods have been developed over the years. Among these the product of scale-weighted pixel sums and a linear correlation coefficient is a popular people counting approach. However most approaches have paid little attention to resolving the true background and instead take all foreground pixels into account. With large crowds moving at varying speeds and with the presence of other moving objects such as vehicles this approach is prone to problems. In this paper we present a method which concentrates on determining the true-foreground, i.e. human-image pixels only. To do this we have proposed, implemented and comparatively evaluated a human detection layer to make people counting more robust in the presence of noise and lack of empty background sequences. We show the effect of combining human detection with a pixel-map based algorithm to i) count only human-classified pixels and ii) prevent foreground pixels belonging to humans from being absorbed into the background model. We evaluate the performance of this approach on the PETS 2009 dataset using various configurations of the proposed methods. Our evaluation demonstrates that the basic benchmark method we implemented can achieve an accuracy of up to 87% on sequence ¿S1.L1 13-57 View 001¿ and our proposed approach can achieve up to 82% on sequence ¿S1.L3 14-33 View 001¿ where the crowd stops and the benchmark accuracy falls to 64%.

PETS2009: dataset and challenge

This paper describes the crowd image analysis challenge that forms part of the PETS 2009 workshop. The aim of this challenge is to use new or existing systems for i) crowd count and density estimation, ii) tracking of individual(s) within a crowd, and iii) detection of separate flows and specific crowd events, in a real-world environment. The dataset scenarios were filmed from multiple cameras and involve multiple actors.

Mining gene networks with application to GAW15 problem 1

The genetic analysis workshop 15 (GAW15) problem 1 contained baseline expression levels of 8793 genes in immortalised B cells from 194 individuals in 14 Centre d’Etude du Polymorphisme Humane (CEPH) Utah pedigrees. Previous analysis of the data showed linkage and association and evidence of substantial individual variations. In particular, correlation was examined on expression levels of 31 genes and 25 target genes corresponding to two master regulatory regions. In this analysis, we apply Bayesian network analysis to gain further insight into these findings. We identify strong dependences and therefore provide additional insight into the underlying relationships between the genes involved. More generally, the approach is expected to be applicable for integrated analysis of genes on biological pathways.

Public Art Commission, Where is Heidenheim? Tina O'Connell and Neal White

Research undertaken through significant public art commission. The researchers were both artists were selected separately by Dr Penelope Curtis of Tate and then the shortlist was awarded through competition (peer reviewed by Critics and Artist in Germany) part of the Heidenheim Sculpture Biennial, Germany (€18K). The work was realised by two companies in Heidenheim. Where is Heidenheim? was based within the Heidenheim Zietung newspaper[HZ] and drew together a site of a local paper in a small town in Germany with other local International papers; Wendover Times – Utah, USA;, Limerick Leader, Ireland; Free Imphal Press, Manipur, India; Hibr, Lebanon; Namibia Times, Namibia and The Countryman, Tasmania, Australia. Each of these papers ran a story showing a sign erected onto HZ in Heidenheim, which was subsequently printed inside HZ itself – linking together sites and local voices. Project research identifying global partners was conducted through the management of a PhD research student from the BU Media School - Venkata Vermuri. The work for both artists expands the context of their research into the impact of global networks on public art, and the traditions and norms of public art being confined to single ‘geographical’ sites. This research indicates the potential for media as a common public space that can also be used.