Posted in Python onJanuary 09, 2018
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:
import cv2 import numpy as np camera=cv2.VideoCapture(0) firstframe=None while 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
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python+opencv实现动态物体追踪
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