I tried the method in the answer of this: 
attention to the algorithm:
- Change threshold to find different location for matching
- Change matching algorithm
Check why sometimes you should use max and sometimes use min value found location matching.
helpful links:
OpenCV Template Matching ( cv2.matchTemplate )
Template matching using OpenCV in Python
Update #1
If you want to reach better results you should use feature descriptors like "HOG", "Surf", "SIFT" and ... . Or state of the art object detection models like YOLO are the best known to your problem.