63 lines
1.4 KiB
Python
63 lines
1.4 KiB
Python
import cv2
|
|
import numpy as np
|
|
|
|
cap = cv2.VideoCapture(0)
|
|
|
|
cap.set(3, 320)
|
|
cap.set(4, 240)
|
|
cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)
|
|
|
|
ret, prev_frame = cap.read()
|
|
prev_gray = cv2.cvtColor(prev_frame, cv2.COLOR_BGR2GRAY)
|
|
prev_gray = cv2.GaussianBlur(prev_gray, (5,5), 0)
|
|
|
|
while True:
|
|
ret, frame = cap.read()
|
|
if not ret:
|
|
break
|
|
|
|
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
|
|
gray = cv2.GaussianBlur(gray, (5,5), 0)
|
|
|
|
# 帧差
|
|
diff = cv2.absdiff(prev_gray, gray)
|
|
diff = cv2.convertScaleAbs(diff, alpha=2.5)
|
|
|
|
_, thresh = cv2.threshold(diff, 20, 255, cv2.THRESH_BINARY)
|
|
|
|
contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
|
|
|
|
# ===== 核心：选最大目标 =====
|
|
target = None
|
|
max_area = 0
|
|
|
|
for cnt in contours:
|
|
area = cv2.contourArea(cnt)
|
|
|
|
if area < 300: # 过滤噪声
|
|
continue
|
|
|
|
if area > max_area:
|
|
max_area = area
|
|
target = cnt
|
|
|
|
# ===== 只处理一个目标 =====
|
|
if target is not None:
|
|
x, y, w, h = cv2.boundingRect(target)
|
|
cx = x + w // 2
|
|
cy = y + h // 2
|
|
|
|
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
|
|
cv2.circle(frame, (cx, cy), 5, (0, 0, 255), -1)
|
|
|
|
print("唯一目标:", cx, cy, "area:", max_area)
|
|
|
|
cv2.imshow("tracking", frame)
|
|
|
|
prev_gray = gray.copy()
|
|
|
|
if cv2.waitKey(1) & 0xFF == 27:
|
|
break
|
|
|
|
cap.release()
|
|
cv2.destroyAllWindows() |