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实时跟踪人物运动轨迹
发布于2021-05-28 17:25 阅读(526) 评论(0) 点赞(0) 收藏(0)
import imutils
haar_upper_body_cascade = cv2.CascadeClassifier("data/haarcascade_upperbody.xml")
# video_capture = cv2.VideoCapture(0)
# For real-time sample video detection
video_capture = cv2.VideoCapture("500kV.mp4")
video_width = video_capture.get(3)
video_height = video_capture.get(4)
while True:
ret, frame = video_capture.read()
frame = imutils.resize(frame, width=1000) # resize original video for better viewing performance
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # convert video to grayscale
upper_body = haar_upper_body_cascade.detectMultiScale(
gray,
scaleFactor = 1.1,
minNeighbors = 5,
minSize = (50, 100), # Min size for valid detection, changes according to video size or body size in the video.
flags = cv2.CASCADE_SCALE_IMAGE
)
# Draw a rectangle around the upper bodies
for (x, y, w, h) in upper_body:
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 1) # creates green color rectangle with a thickness size of 1
cv2.putText(frame, "Upper Body Detected", (x + 5, y + 15), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2) # creates green color text with text size of 0.5 & thickness size of 2
cv2.imshow('Video', frame) # Display video
# stop script when "q" key is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Release capture
video_capture.release()
cv2.destroyAllWindows()
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作者：每个人身上都有毛毛
链接：http://www.pythonpdf.com/blog/article/37/6688e9cb8191c85b9a57/
来源：编程知识网
任何形式的转载都请注明出处,如有侵权 一经发现 必将追究其法律责任
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