MSIADU '09 Proceedings of the 1st ACM SIGMM international workshop on Media studies and implementations that help improving access to disabled users
Face recognition using Histograms of Oriented Gradients
Pattern Recognition Letters
Optimized EIF-SLAM algorithm for precision agriculture mapping based on stems detection
Computers and Electronics in Agriculture
Segmentation of Pedestrians with Confidence Level Computation
Journal of Signal Processing Systems
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Human detection is the task of finding presence and position of human beings in images, In this paper, we apply scale space theory to detection human in still images. By integrating scale space theory with histogram of oriented gradients(HOG), we designed a new feature descriptor called scale space histogam of oriented gradients (SS-HOG). SS-HOG focus on the multiple scale property of describe an object. Using HOGs at multiple scale, SS-HOG encodes more information to discriminate human bodies from other object types than traditional uni-scale HOGs Experiments on INRIA person dataset demonstrate the effectiveness of our method.