現在識別出了每張圖片上的行人 但我該怎么判斷這一幀的這個人人和下一幀的人這個人是否是同一個人呢？
還要做到一直能識別到這個人 匹配點這種方法因為圖片太小 試過了之后就放棄了
求大神給一些思路
uj5u.com熱心網友回復：
要判斷是否有行人應該比較簡單，將兩幅影像做減法即可，要是判斷是否同一個行人則不容易了uj5u.com熱心網友回復：
要做特征什么計算吧。什么顏色啥的uj5u.com熱心網友回復：
是想做人臉識別+運動檢測？uj5u.com熱心網友回復：
僅供參考：#"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')
uj5u.com熱心網友回復：
用opencv很簡單，就上面那樣，用C呼叫，百來行代碼uj5u.com熱心網友回復：
《OpenCV計算機視覺編程攻略（第3版）》 第13章 跟蹤運動目標uj5u.com熱心網友回復：
您好 請問如果我用圖片而不是視頻 還有可用的嗎?uj5u.com熱心網友回復：
視頻處理也是一張張圖片處理，沒本質區別轉載請註明出處，本文鏈接：https://www.uj5u.com/gongcheng/59536.html
標籤：圖形處理/算法