How to handle occlusion?
7 views (last 30 days)
Show older comments
Can anyone guide me regarding occlusion handling for tracking as well as in stereovision
2 Comments
Answers (1)
Dima Lisin
on 8 Dec 2014
Hi Himanshu,
First of all, it is very rare in computer vision to see a 100% accuracy rate. Even the best detection or tracking algorithms still make some mistakes.
As far as your situation, more information would help. What algorithm do you use for object detection? What algorithm do you use for tracking? Is your camera stationary? Are there other objects in the scene besides cars?
For example, if your camera is stationary, you can use background subtraction to detect moving objects (e. g. vision.ForegroundDetector). Then you can use vision.KalmanFilter to track those objects using their motion. If the only moving objects in your scene are cars, then you should be able to track a car even if it is partially occluded, and even it is fully occluded for a short time.
6 Comments
See Also
Categories
Find more on Recognition, Object Detection, and Semantic Segmentation in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!