ECLC: Edge character and latency connection enhanced inter-frame difference algorithm for real-time outdoor surveillance

This paper presents a technique, ECLC, for improving the accuracy and robustness of the inter-frame difference motion detection algorithm at a very low computation cost, which surpass the latest classical background subtraction algorithm ViBe. It incorporates several innovative mechanisms: edge characteristic info is introduced for more accurately identifying the foreground model with gradient info consideration; neighbourhood mean filter based latency connection is carried out to strengthen the foreground pixel´s spatial correlation. Thoroughly experiments have been carried out, and efficiency figures showed that our algorithm can get exact moving object from complex background accurately like GMM and ViBe at a very low computation cost, which is even lower than ViBe. And also ECLC can solve some other typical problems such as ghost, shadow and illumination changes.