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使用meanShift、CamShift捕捉对象

import cv2import numpy as npcapture = cv2.VideoCapture('dance1.mp4')ret,frame = capture.read()x,y,w,h = 700,0,160,160track_window = (x,y,w,h )roi = frame[y:y+h, x:x+w]hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)mask = cv2.inRange(hsv_roi, np.array((0, 60,32)), np.array((180,255,255)))roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)# 设置终止条件，term_crit = (cv2.TERM_CRITERIA_COUNT, 6, 1 )while(1): ret, frame = capture.read() if ret == True:     hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)     dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)     # 应用meanshift或者来获取新位置     ret, track_window = cv2.CamShift(dst, track_window, term_crit)     # 在图像上绘制     x,y,w,h = track_window     img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)     cv2.imshow('img2',img2)     k = cv2.waitKey(30) & 0xff     if k == 27:        break else:     break

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