Real Time Vehicle Detection with Foreground based cascade Classifier

Real Time Vehicle Detection with Foreground based cascade Classifier. Abstract The strategy based on Haar-like features and the cascade classifier for vehicle detection systems has captured growing attention for its effectiveness and robustness; however, such a vehicle detectionstrategy relies on exhaustive scanning of an entire image with different sizes sliding windows, which is tedious and inefficient, since a vehicle only occupies a small part of the whole […]


Static and Dynamic Hand Gesture Recognition in Depth Data Using Dynamic Time

Statistical Hypothesis Detector for Abnormal Event Detection in Crowded Abstract Abnormal event detection is now a challenging task, especially for crowded scenes. Many existing methods learn a normal event model in the training phase, and events which cannot be well represented are treated as abnormalities. However, they fail to make use of abnormal event patterns, which are elements to comprise abnormal events. Moreover, normal patterns in testing videos may […]