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A single PTZ Camera Based People-Occupancy Estimation System (PCBPOES) is proposed to estimate the number of people occupying a region of interest with acceptable accuracy. The PTZ camera aids this objective by efficiently monitoring a wide area by dividing it into zones, capturing high resolution zone images aided by the optical zoom for detecting human head patterns. A seminar room is used as a...
A system to estimate pedestrian crowd levels is proposed. It uses the Parvo channel output of the bio-inspired retina model for improved sensitivity to head patterns in low illumination. Head features are learned from the parvo output. Several features are explored, namely, Aggregate Channel Features (ACF), Integral Channel Features (ICF) and the Histogram of Oriented Gradients (HOG). ACF was selected...
A real-time system to automatically identify pedestrian meeting events from surveillance videos is proposed. The system consists of three components: a pedestrian detection and tracking module, a pedestrian group identification module and a pedestrian group record. A three-level blob filter is used to improve the accuracy of pedestrian detection in the pedestrian detection and tracking module. Our...
A Non-recursive Motion Similarity Clustering (NMSC) algorithm is proposed to identify pedestrians traveling together in social groups. The clustering algorithm is unsupervised and can automatically identify social groups within a region of interest in a video. Social groups are identified using only pedestrian motion information by imposing motion parameter thresholds defined by social psychological...
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