简单几行就可以实现对动态物体的追踪，足见opencv在图像处理上的强大。
python代码：
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import cv2 import numpy as np camera=cv2.VideoCapture(0) firstframe=Nonewhile True: ret,frame = camera.read() if not ret: break gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) gray=cv2.GaussianBlur(gray,(21,21),0) if firstframe is None: firstframe=gray continue frameDelta = cv2.absdiff(firstframe,gray) thresh = cv2.threshold(frameDelta, 25, 255, cv2.THRESH_BINARY)[1] thresh = cv2.dilate(thresh, None, iterations=2) # cnts= cv2.findContours(thresh.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) x,y,w,h=cv2.boundingRect(thresh) frame=cv2.rectangle(frame,(x,y),(x+w,y+h),(0,0,255),2) cv2.imshow("frame", frame) cv2.imshow("Thresh", thresh) cv2.imshow("frame2", frameDelta) key = cv2.waitKey(1)&0xFF if key == ord("q"): break camera.release() cv2.destroyAllWindows() |
效果图
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：http://blog.csdn.net/cike14/article/details/50649811
