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What is Automatic Object Detection and Tracking Method about?

This paper presents an automatic object detection and tracking method for intelligent video surveillance, utilizing a cooperative mechanism between detection, tracking, and decision-making modules. The method employs a Gaussian Mixture Model (GMM) combined with Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) for detection, and a Kernelized Correlation Filter (KCF) for tracking, achieving high real-time performance and robustness in complex scenes. Experimental results demonstrate the

Author

preedesai7

Language

EN