Real-time object detection for a panning/tilting surveillance camera using an embedded DSP platform

Object detection for a non-static (Panning and Tilting) camera has been the centre of interests of various applications. In this paper, we present a novel real-time object detection approach that can efficiently handle the problem of a moving camera that performs panning and tilting motions to incorporate a wide field of view for more security and a wider angle of view. We present a set of possible solutions where the optimal is implemented on an embedded Texas Instrument DM6437 DSP platform which is suitable for video processing. In the presence of a non-static camera, classical object detection algorithms cannot be used. Therefore our idea consists of two main stages: The first stage attempts to align the two successive frames of the video by using a method based on 2D -correlation (Sum of absolutes differences (SAD)); the second stage involves one of the classical background subtraction algorithms. The system was successively simulated in Matlab environment and then implemented in DSP platform.