Video surveillance object recognition based on shape and color features

A new video surveillance object recognition algorithm is presented, in which improved invariant moments and length-width ratio of object are extracted as shape feature, while color histograms of object are utilized as color feature. On the combination of shape and color features, object recognition is achieved. Based on the algorithm, an intelligent video surveillance system is implemented. Test results show that its recognition result is insensitive to luminance, shadow, translation, rotation and distance. Its recognition accuracy is higher than ordinary algorithms, and its processing speed satisfies real-time demand.