Title :
Human detection and object tracking based on Histograms of Oriented Gradients
Author :
Shibo Zhang ; Xiaojie Wang
Author_Institution :
Coll. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Feature extraction methods are widely used in the object detection procedure. In this paper, improved Histograms of Oriented Gradients features are used to represent the edge information of images. In order to track in real-time, we use background subtraction detection with Histograms of Oriented Gradients, which achieves the required accuracy and satisfies real-time demand.
Keywords :
feature extraction; human computer interaction; intelligent transportation systems; object detection; background subtraction detection; feature extraction methods; histogram of oriented gradients; human detection; object tracking; Conferences; Feature extraction; Histograms; Image edge detection; Object tracking; Real-time systems; Support vector machines; Histograms of Oriented Gradient (HOG); Human detection; Object Tracking;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818189
