AN EFFICIENT DETECTION APPROACH FOR VISUAL SURVEILLANCE SYSTEM USING MORPHOLOGY
K.Shanmugapriya1 and T.Sree Vidhya2
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Now-a-days for an intelligent surveillance system, identification of an object from a video has attracted a great deal of interest. Some segmentation techniques are needed to perform to detect an object from a video. Two essential building block of smart surveillance system in real time application are object segmentation and object detection. This method is proposed on a multi object moving background based on morphological technique and cellular automata based segmentation. The video is preprocessed before segmentation. Motion segmentation is done to segment an object from a video. In this, a Morphological operation is proposed to remove unwanted object motion and enhance the segmentation result. This result is then used for object identification. Cellular automata based segmentation is performed to detect particular object from a video. This method can detect any object at any drastic change in illumination.