Pedestrian detection by modeling local convex shape features
J Park, Y Luo, H Wang… - 2008 19th International …, 2008 - ieeexplore.ieee.org
This paper presents a pedestrian model built collectively on a group of strong local convex
shape descriptors. The pedestrian model captures the most important features of a
pedestrian: head, body contour, arms, legs and crotch, and is robust to variances in
appearances and partial occlusions. For an image set of 2571 pedestrians and 4369 car
and background images, the pedestrian recognition system, which was built upon the
proposed pedestrian model, gave a recognition rate of 98.8% with a false positive rate of …
shape descriptors. The pedestrian model captures the most important features of a
pedestrian: head, body contour, arms, legs and crotch, and is robust to variances in
appearances and partial occlusions. For an image set of 2571 pedestrians and 4369 car
and background images, the pedestrian recognition system, which was built upon the
proposed pedestrian model, gave a recognition rate of 98.8% with a false positive rate of …
[PDF][PDF] Pedestrian Detection by Modeling Local Convex Shape Features
D Assistance - Citeseer
This paper presents a pedestrian model built collectively on a group of strong local convex
shape descriptors. The pedestrian model captures the most important features of a
pedestrian: head, body contour, arms, legs and crotch, and is robust to variances in
appearances and partial occlusions. For an image set of 2571 pedestrians and 4369 car
and background images, the pedestrian recognition system, which was built upon the
proposed pedestrian model, gave a recognition rate of 98.8% with a false positive rate of …
shape descriptors. The pedestrian model captures the most important features of a
pedestrian: head, body contour, arms, legs and crotch, and is robust to variances in
appearances and partial occlusions. For an image set of 2571 pedestrians and 4369 car
and background images, the pedestrian recognition system, which was built upon the
proposed pedestrian model, gave a recognition rate of 98.8% with a false positive rate of …
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