Simulation of Moving Target Attitude Recognition in Video Foreground Area
Due to the susceptibility of moving targets to occlusion,the recognition effect is not ideal.Therefore,a video foreground region motion target pose recognition method is proposed.Pyramid transform was used to sample vid-eo images at first.And then,Vibe foreground detection algorithm was adopted to complete the foreground detection.Meanwhile,the ghost of the video was eliminated during the detection,so that the target tracking accuracy was im-proved.Moreover,the mean-shift method was adopted to track the moving target in the foreground region,thus extrac-ting the posture feature of the moving target.Finally,it was input into the support vector machine decision function to complete the recognition of posture.The simulation results show that the proposed method has high tracking accuracy and efficiency,as well as high accuracy of attitude recognition.
Machine visionForeground detectionTarget tracking methodSupport vector machineRecognition of posture
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