Real-time moving object detection for video surveillance system in FPGA

Abstract

FPGA devices are a perfect platform for implementing image processing algorithms. In the article, an advanced video system is presented, which is able to detect moving objects in video sequences. The detection method is using two algorithms. First of all, a multimodal background generation method allows reliable scene modelling in case of rapid changes in lighting conditions and small background movement. Finally a segmentation based on three parameters lightness, colour and texture is applied. This approach allows to remove shadows from the processed image. Authors proposed some improvements and modifications to existing algorithms in order to make them suitable for reconfigurable platforms. In the final system only one, low cost, FPGA device is able to receive data from high speed digital camera, perform a Bayer transform, RGB to CIE Lab colour space conversion, generate a moving object mask and present results to the operator in real-time.