Method for adaptively quantizing optical flow features on complex video monitoring scenes

The invention belongs to the technical field of digital image processing and relates to a method for adaptively quantizing optical flow features on complex video monitoring scenes. According to the method, the local statistical features are calculated after probability denoising is performed on video space based on the optical flow features, then, the video space position is adaptively quantized, and the video space is divided into a plurality of micro-block areas; finally, each micro-block area is filtered through a motion complexity threshold value, the quantization number is judged, a visual dictionary is generated, and adaptive quantization is achieved. According to the method, the effectiveness and the diversity of motion on the video monitoring scenes are described based on the local statistical features of optical flow. The effective pixel ratio and the motion complexity features are fused, the liveliness of local motion is described, and then the optical flow feature position can be adaptively quantized. On the basis of the motion complexity features, the diversity of the local motion is described, and then the optical flow feature direction can be adaptively quantized. Better discriminability can be played through adaptive quantization of the optical flow features in the next scene analysis based on a word bag model.