Similarity Measure and Shadow Casting Method for Object Tracking

A real-time surveillance system is especially important in providing accurate information by extracting features by recognizing objects from given images. This paper presents a shadow casting method to extract an exact feature vertor about an object, and a color relationship feature vector that can precisely track objects in occlusive and disocclusive situations. The shadow casting method is applied to improved objects recognized as a person. Also, Reliable color relationship feature vector extraction is inevitable for event detection and the precise tracking of objects. The proposed tracking method had an outstanding performance using to count any weakness of the vector. As a result of the experimental images, the proposed method allows for precise trajectory tracking even in cases of the occlusive and disocclusive situations of multi-objects.