Title :
Context pruned histogram of oriented gradients for pedestrian detection
Author :
Vimal, S.P. ; Ajay, B. ; Thiruvikiraman, P.K.
Author_Institution :
Dept. of CS&IS, Birla Inst. of Technol. & Sci., Pilani, India
Abstract :
The contextual information has been found to assist the object detection in many ways. The contextual information in the detection tasks can serve to disambiguate the recognition process when the object to be detected is cluttered in the environment. Also, it can help speeding up the detection process itself. In this paper, we have shown that the use of spatial contextual information makes the process of detecting of pedestrian in still images efficient. We have tested our approach in the INRIA dataset consisting of 999 images and the results are found to be encouraging.
Keywords :
computer vision; object detection; pedestrians; INRIA dataset; computer vision; context pruned histogram of oriented gradient; detection task; object detection; pedestrian detection; recognition process disambiguation; spatial contextual information; still image; Computer vision; Conferences; Context; Detectors; Feature extraction; Histograms; Object detection; Histogram of Oriented Gradients (HOG); Pedestrian Detection; Spatial Context;
Conference_Titel :
Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on
Conference_Location :
Kottayam
Print_ISBN :
978-1-4673-5089-1
DOI :
10.1109/iMac4s.2013.6526501
