An Intelligent Method for Moving Object Detection

Detection of activities of moving objects is a challenging problem for its promising applications. Emerging research topic on computer vision includes with detection on many applications to reduce the computation cost, simple and faster the object. In this paper, we present a motion control method for mobile robots in indoor environments based on color object detection. Probing over a digitized image of robots taken at top view to uniquely identify them is not quite an easy task. The recognition process involves scanning a digitized image and characterizing it, which is made difficult by varying illumination, position, and rotation. Furthermore, the vision system is plagued with inherent difficulties that cannot be completely controlled. Effects such as lighting and shadows, lens focus, and even quantum electrical effects in the sensor chip combine to make it essentially impossible to guarantee that the color being tracked down would remain constant as the robot traverses the exploration field. Among the different recognition cues, like shape, size, position, and motion, this paper focuses on color as the primary discriminating feature. After identification, the robots are operated wirelessly by interfacing with wireless module and motor driver.