# Is my algorithm about blob tracking for vehicle following correct?

I'm doing vehicles tracking project. The video is a one-way, no vehicles occlusion. After doing background subtraction, erosion and dilation, I get bounding box objects for each frame, and I can find $centroid(c_x,c_y)$ from that. So, the next thing I want to do is blobs tracking. Here is what I'm thinking on how to do the blobs tracking:

1. At first frame, store all (cx,cy,id)
2. Next frame, calculate distance each new (cx,cy) with each of old (cx,cy)
3. If distance < threshold, update the old (cx,cy) which qualify the formula
4. If distance > threshold, check if the cx,cy is near the entry coordinate (e.g. around x,y=0-640,0-40), if yes store new (cx,cy).

Is it right and possible to apply to tracking?

• Looks good. Suggested alternative technique in answer. – Manav Kataria Jan 18 '15 at 2:02
• What if the number of centroids increase or decrease? – Walid Ahmed Jan 5 '17 at 22:03

## 1 Answer

You might want to consider tracking using MeanShift & Cam Shift:

http://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_video/py_meanshift/py_meanshift.html#meanshift

• Isn't makeshift and camshift is for single tracking, how I can use the technique for vehicles? – user3794938 Jan 18 '15 at 10:20
• Can you elaborate on what you mean by 'single tracking'? The example in the link uses Meanshift and CamShift Techniques for vehicle tracking which I believe is your objective. – Manav Kataria Jan 18 '15 at 20:10
• I'm sorry, I'm wrong.. I read some paper and it can tracking multiple objects.. But I'm still don't understand how to do it.. I'm confuse with the mathematics terms.. – user3794938 Jan 19 '15 at 5:09
• It sounds good, but how do you get the bounding boxes? – user20881 May 6 '16 at 6:23