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Pedestrian flow is much less regulated and controlled compared to vehicle traffic. Estimating flow parameters would support many safety, security or commercial applications. Current paper discusses a ...
What if computers could recognize objects as well as the human brain could? Electrical engineers at the University of California, San Diego have taken an important step toward that goal by developing ...
Object detection and tracking is the basis for many applications in surveillance and activity recognition. Unfortunately the utilized cameras for the observation of wide scenes are mostly not sufficie...
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
Pedestrian detection in still image should handle the large appearance and pose variations arising from the articulated structure and various clothing of human bodies as well as view points. So it is...
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure,various clothing of human as well as viewpoints. In this paper, we a...
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
Pedestrian detection in still image should handle the large appearance and pose variations arising from the articulated structure and various clothing of human bodies as well as view points. So it is ...
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure,various clothing of human as well as viewpoints. In this paper, we a...
One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observation, we propose a new k...

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