TY - GEN
T1 - Adaptive ROI-based autonomous pedestrian detection system
AU - Baek, Jeonghyun
AU - Hong, Sungjun
AU - Kim, Jisu
AU - Kim, Euntai
AU - Lee, Heejin
PY - 2012
Y1 - 2012
N2 - This paper presents an efficient algorithm to set adaptive ROI for detecting pedestrians in a moving vehicle environment. The algorithm analyzes the centroid of detected pedestrian in current frame and define centroid region where centroids of detected pedestrian are concentrated. Based on centroid region, adaptive ROI is updated for each different size of detection window in next frame. Experiments are conducted with the Caltech pedestrian dataset and proposed method not only reduces computation time but also maintains performance of conventional methods.
AB - This paper presents an efficient algorithm to set adaptive ROI for detecting pedestrians in a moving vehicle environment. The algorithm analyzes the centroid of detected pedestrian in current frame and define centroid region where centroids of detected pedestrian are concentrated. Based on centroid region, adaptive ROI is updated for each different size of detection window in next frame. Experiments are conducted with the Caltech pedestrian dataset and proposed method not only reduces computation time but also maintains performance of conventional methods.
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M3 - Conference contribution
AN - SCOPUS:84872528700
SN - 9781467322478
T3 - International Conference on Control, Automation and Systems
SP - 635
EP - 638
BT - ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
T2 - 2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
Y2 - 17 October 2012 through 21 October 2012
ER -