想做连续帧图片的行人跟踪请问有什么思路吗？

GundamDyname 2018-11-01 04:25:44

现在识别出了每张图片上的行人但我该怎么判断这一帧的这个人人和下一帧的人这个人是否是同一个人呢？
还要做到一直能识别到这个人匹配点这种方法因为图片太小试过了之后就放弃了
求大神给一些思路

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「已注销」 2018-11-23

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视频处理也是一张张图片处理，没本质区别

GundamDyname 2018-11-23

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引用 4 楼赵4老师的回复:

仅供参考：

#"Object Tracking using OpenCV (C++/Python)"
import cv2
import sys

(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')

if __name__ == '__main__' :

    # Set up tracker.
    # Instead of MIL, you can also use

    tracker_types = ['BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE']
    tracker_type = tracker_types[2]

    if int(minor_ver) < 3:
        tracker = cv2.Tracker_create(tracker_type)
    else:
        if tracker_type == 'BOOSTING':
            tracker = cv2.TrackerBoosting_create()
        if tracker_type == 'MIL':
            tracker = cv2.TrackerMIL_create()
        if tracker_type == 'KCF':
            tracker = cv2.TrackerKCF_create()
        if tracker_type == 'TLD':
            tracker = cv2.TrackerTLD_create()
        if tracker_type == 'MEDIANFLOW':
            tracker = cv2.TrackerMedianFlow_create()
        if tracker_type == 'GOTURN':
            tracker = cv2.TrackerGOTURN_create()
        if tracker_type == 'MOSSE':
            tracker = cv2.TrackerMOSSE_create()

    # Read video
    video = cv2.VideoCapture("stage.mp4")

    # Exit if video not opened.
    if not video.isOpened():
        print("Could not open video")
        sys.exit()

    for f in range(25*10):
        ok, frame = video.read()
        if not ok:
            print('Cannot read video file')
            sys.exit()


    # Uncomment the line below to select a different bounding box
    bbox = cv2.selectROI(frame, False)
    cv2.destroyWindow('ROI selector')
    print("selectROI:"+str(bbox))
    if bbox==(0,0,0,0):
        # Define an default bounding box
        bbox = (700, 255, 192, 473)
        print("You canceled selection. Use default "+str(bbox))

    # Initialize tracker with first frame and bounding box
    ok = tracker.init(frame, bbox)
    print(ok)

    while True:
        # Read a new frame
        ok, frame = video.read()
        if not ok:
            break

        # Start timer
        timer = cv2.getTickCount()

        # Update tracker
        ok, bbox = tracker.update(frame)

        # Calculate Frames per second (FPS)
        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer);

        # Draw bounding box
        if ok:
            # Tracking success
            p1 = (int(bbox[0]), int(bbox[1]))
            p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
            cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)
        else :
            # Tracking failure
            cv2.putText(frame, "Tracking failure detected", (100,80), cv2.FONT_HERSHEY_SIMPLEX, 0.75,(0,0,255),2)

        # Display tracker type on frame
        cv2.putText(frame, tracker_type + " Tracker", (100,20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50),2);

        # Display FPS on frame
        cv2.putText(frame, "FPS : " + str(int(fps)), (100,50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50), 2);

        # Display result
        cv2.imshow("Tracking", frame)

        # Exit if ESC pressed
        k = cv2.waitKey(1) & 0xff
        if k == 27:
            break
        if k == 32:
            bbox1 = cv2.selectROI(frame, False)
            cv2.destroyWindow('ROI selector')
            print("selectROI:"+str(bbox1))
            if bbox1==(0,0,0,0):
                print("You canceled selection. Use old "+str(bbox))
            else:
                bbox=bbox1
            print("new selectROI:"+str(bbox))
            del tracker
            tracker = cv2.TrackerKCF_create()
            ok = tracker.init(frame, bbox)
            print(ok)
    cv2.destroyWindow('Tracking')

您好请问如果我用图片而不是视频还有可用的吗?

赵4老师 2018-11-20

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仅供参考：

#"Object Tracking using OpenCV (C++/Python)"

import cv2

import sys



(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')



if __name__ == '__main__' :



    # Set up tracker.

    # Instead of MIL, you can also use



    tracker_types = ['BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE']

    tracker_type = tracker_types[2]



    if int(minor_ver) < 3:

        tracker = cv2.Tracker_create(tracker_type)

    else:

        if tracker_type == 'BOOSTING':

            tracker = cv2.TrackerBoosting_create()

        if tracker_type == 'MIL':

            tracker = cv2.TrackerMIL_create()

        if tracker_type == 'KCF':

            tracker = cv2.TrackerKCF_create()

        if tracker_type == 'TLD':

            tracker = cv2.TrackerTLD_create()

        if tracker_type == 'MEDIANFLOW':

            tracker = cv2.TrackerMedianFlow_create()

        if tracker_type == 'GOTURN':

            tracker = cv2.TrackerGOTURN_create()

        if tracker_type == 'MOSSE':

            tracker = cv2.TrackerMOSSE_create()



    # Read video

    video = cv2.VideoCapture("stage.mp4")



    # Exit if video not opened.

    if not video.isOpened():

        print("Could not open video")

        sys.exit()



    for f in range(25*10):

        ok, frame = video.read()

        if not ok:

            print('Cannot read video file')

            sys.exit()





    # Uncomment the line below to select a different bounding box

    bbox = cv2.selectROI(frame, False)

    cv2.destroyWindow('ROI selector')

    print("selectROI:"+str(bbox))

    if bbox==(0,0,0,0):

        # Define an default bounding box

        bbox = (700, 255, 192, 473)

        print("You canceled selection. Use default "+str(bbox))



    # Initialize tracker with first frame and bounding box

    ok = tracker.init(frame, bbox)

    print(ok)



    while True:

        # Read a new frame

        ok, frame = video.read()

        if not ok:

            break



        # Start timer

        timer = cv2.getTickCount()



        # Update tracker

        ok, bbox = tracker.update(frame)



        # Calculate Frames per second (FPS)

        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer);



        # Draw bounding box

        if ok:

            # Tracking success

            p1 = (int(bbox[0]), int(bbox[1]))

            p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))

            cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)

        else :

            # Tracking failure

            cv2.putText(frame, "Tracking failure detected", (100,80), cv2.FONT_HERSHEY_SIMPLEX, 0.75,(0,0,255),2)



        # Display tracker type on frame

        cv2.putText(frame, tracker_type + " Tracker", (100,20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50),2);



        # Display FPS on frame

        cv2.putText(frame, "FPS : " + str(int(fps)), (100,50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50), 2);



        # Display result

        cv2.imshow("Tracking", frame)



        # Exit if ESC pressed

        k = cv2.waitKey(1) & 0xff

        if k == 27:

            break

        if k == 32:

            bbox1 = cv2.selectROI(frame, False)

            cv2.destroyWindow('ROI selector')

            print("selectROI:"+str(bbox1))

            if bbox1==(0,0,0,0):

                print("You canceled selection. Use old "+str(bbox))

            else:

                bbox=bbox1

            print("new selectROI:"+str(bbox))

            del tracker

            tracker = cv2.TrackerKCF_create()

            ok = tracker.init(frame, bbox)

            print(ok)

    cv2.destroyWindow('Tracking')