add object tracking file

Author: manthan89-py

Readme.md

@@ -38,6 +38,16 @@
 31. shi_tomasi_corner_detection.py
 32. background_subtraction_opencv.py
 33. meanshift_object_tracking_opencv.py
+34. camshift_object_tracking_opencv.py
+
+## Cascade Information⭐:
+#### Download Following Resources for Corosponding Tutorials.
+
+* Face-detection :- https://.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml
+
+* Eyes Detection :- https://.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml
+
+Other Cascade :- https://.com/opencv/opencv/tree/master/data/haarcascades
 
 ## Helpful Documentations⭐:
 * OpenCV : https://docs.opencv.org/master/

camshift_object_tracking_opencv.py

@@ -0,0 +1,50 @@
+import cv2
+import numpy as np
+
+cap = cv2.VideoCapture('test_images/slow_traffic_small.mp4')
+
+# read first frame
+ret, frame = cap.read()
+
+# initial location
+x, y, width, height = 300, 200, 100, 50
+tracked_window = (x,y,width,height)
+
+# ROI
+roi = frame[y:y+height , x:x+width]
+hsv_roi = cv2.cvtColor(roi , cv2.COLOR_BGR2HSV)
+mask = cv2.inRange(hsv_roi , np.array((0.,60.,32.)) , np.array((180.,255.,255.)))
+roi_hist = cv2.calcHist([hsv_roi] , [0] ,mask ,[180],[0,180] )
+cv2.normalize(roi_hist , roi_hist , 0,255, cv2.NORM_MINMAX)
+
+# setup termination criteria
+term_crit = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT , 10, 1)
+# cv2.imshow('roi' , roi)
+
+while True:
+ret, frame = cap.read()
+if ret == True:
+
+hsv = cv2.cvtColor(frame , cv2.COLOR_BGR2HSV)
+dst = cv2.calcBackProject([hsv] , [0] , roi_hist , [0,180] , 1)
+
+# Cam shift
+ret ,track_window = cv2.CamShift(dst , tracked_window , term_crit)
+
+# # draw it on image
+# x,y,w,h = track_window
+
+# final_image = cv2.rectangle(frame , (x,y) , (x+w,y+h) , (0,0,255) , 3)
+
+pts = cv2.boxPoints(ret)
+pts = np.int0(pts)
+final_image = cv2.polylines(frame , [pts] , True , (255,0,0) , 3)
+
+# cv2.imshow('dst' , dst)
+cv2.imshow('final_image' , final_image)
+
+if cv2.waitKey(30) & 0xFF == ord('q'):
+break
+
+cap.release()
+cv2.destroyAllWindows()

eyes_detection_opencv.py

@@ -2,6 +2,8 @@
 import numpy as np
 
 # You have to download both cacasde file from internet
+# Download link is in readme.md file of this repository.
+
 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 eyes_cascade = cv2.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml')
 

face_detection_opencv.py

@@ -4,27 +4,26 @@
 #image face detection
 # face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 # img = cv2.imread('test_images/test.jpg')
-#
-#
+
 # gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 # faces = face_cascade.detectMultiScale(gray, 1.1, 4)
-#
+
 # for (x, y, w, h) in faces:
 # cv2.rectangle(img, (x, y), (x+w, y+h), (255,0,0),3)
-#
-#
+
 # cv2.imshow('img', img)
 # cv2.waitKey(0)
-#
-# cv2.destroyAllWindows()
 
+# cv2.destroyAllWindows()
 
 
 # video face detection
 
-## You have to download haarcascade_frontalface_default from internet
+## You have to download cascade file from internet
+## Download link is in readme.md file of this repository
 
 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
 # img = cv2.imread('test_images/test.jpg')
 cap = cv2.VideoCapture(0)