The ICA (Independent Component Analysis)-SVM (Support Vector Machine) based pattern detection is performed on the candidate region extracted by motion, color and global appearance information.
Simultaneous execution of detection and short-term tracking also increases the rate and accuracy of detection. Experimental results show that our detection rate is 91% with very few false alarms running at about 4 frames per second on 640 by 480 pixel images for a Pentium IV 1GHz.