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AVSS
2006
IEEE

Pedestrian Detection and Tracking for Counting Applications in Crowded Situations

14 years 5 months ago
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations
This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A search strategy creates trajectories and new pedestrian hypotheses and then filters and combines those into accurate counting events. We show that counting accuracies up to 98 % can be achieved.
Oliver Sidla, Yuriy Lypetskyy, Norbert Brändl
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where AVSS
Authors Oliver Sidla, Yuriy Lypetskyy, Norbert Brändle, Stefan Seer
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