Question

我已经让OpenCV使用Python，我甚至可以通过我的网络摄像头检测到一张脸。我真正想要做的是看动作并在动作的中间找到点。 camshift样本接近我想要的，但我不想选择要跟踪的视频部分。能够预测下一帧的奖励积分。

这是我目前的代码：

#!/usr/bin/env python

import cv

def is_rect_nonzero(r):
    (_,_,w,h) = r
    return (w > 0) and (h > 0)

class CamShiftDemo:

    def __init__(self):
        self.capture = cv.CaptureFromCAM(0)
        cv.NamedWindow( "CamShiftDemo", 1 )
        self.storage = cv.CreateMemStorage(0)
        self.cascade = cv.Load("/usr/local/share/opencv/haarcascades/haarcascade_mcs_upperbody.xml")
        self.last_rect = ((0, 0), (0, 0))

    def run(self):
        hist = cv.CreateHist([180], cv.CV_HIST_ARRAY, [(0,180)], 1 )
        backproject_mode = False
        i = 0
        while True:
            i = (i + 1) % 12

            frame = cv.QueryFrame( self.capture )

            if i == 0:
                found = cv.HaarDetectObjects(frame, self.cascade, self.storage, 1.2, 2, 0, (20, 20))
                for p in found:
                    # print p
                    self.last_rect = (p[0][0], p[0][1]), (p[0][2], p[0][3])
                    print self.last_rect

            cv.Rectangle( frame, self.last_rect[0], self.last_rect[1], cv.CV_RGB(255,0,0), 3, cv.CV_AA, 0 )
            cv.ShowImage( "CamShiftDemo", frame )

            c = cv.WaitKey(7) % 0x100
            if c == 27:
                break

if __name__=="__main__":
    demo = CamShiftDemo()
    demo.run()

Answer 1

在How do I track motion using OpenCV in Python?

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如何使用OpenCV和Python跟踪blob

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