Object Detection Scheme for Dynamic Videos Based on Local Illumination Based Techniques
نویسنده
چکیده
The paper presents the object detection for dynamic texture scenes using illumination based techniques. They are two types of illumination technique. First one is illumination based background subtraction (ILBS) and second one is illumination based frame difference (ILFS). Illumination frame difference is identifying the objects accurately in dynamic texture scene compare to illumination background subtraction. It has less computation complexity, less computation cost and less space of memory. The experimental results show that ILFS is efficient and robust for the dynamic environment and compare to ILBS.
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