Title :
On experimenting with pedestrian classification using neural network
Author :
Rajesh, R. ; Rajeev, K. ; Gopakumar, V. ; Suchithra, K. ; Lekhesh, V.P.
Author_Institution :
TDC, Network Syst. & Technol. (NeST), Thiruvananthapuram, India
Abstract :
Pedestrian classification is addressed by T. Watanabe et al. using SVM with 34704 CoHOG features. This paper addresses the pedestrian classification using neural network with 1344 CoHOG features (feature size is 25 times small) and still achieve comparable results.
Keywords :
image classification; neural nets; statistical analysis; support vector machines; traffic engineering computing; CoHOG feature; co-occurrence histograms of oriented gradients; neural network; pedestrian classification; pixel orientation; support vector machines; Artificial neural networks; Computer vision; Conferences; Histograms; Humans; Intelligent vehicles; Pattern recognition; CoHOG; HOG; neural network; pedestrain classification;
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
DOI :
10.1109/ICECTECH.2011.5941967
