
I implemented multiple object tracking using particle filter based on paper (M. D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier and L. Van Gool  *Online multiperson tracking-by-detection from a single, uncalibrated camera*,  IEEE Trans. Pattern Anal. Mach. Intell.,  vol. 33,  no. 9,  pp.1820 -1833 2011).  I was using C++ and OpenCV and doing offline tracking to implement the code. Instead of using condensation function from OpenCV, I was implementing particle filter from scratch and trying to tackle occlusion problem.

<img src="/images/mot/index.jpg" width="300" style={{display: "block", margin: "0 auto"}}></img>

<img src="/images/mot/1.jpg" width="300" style={{display: "block", margin: "0 auto"}}></img>
<img src="/images/mot/2.jpg" width="300" style={{display: "block", margin: "0 auto"}}></img>
<img src="/images/mot/3.jpg" width="300" style={{display: "block", margin: "0 auto"}}></img>

Screenshot of 81st, 91st, and 101st frame from PETS09-S2L1 dataset without occlusion handling.



<img src="/images/mot/1o.jpg" width="300" style={{display: "block", margin: "0 auto"}}></img>
<img src="/images/mot/2o.jpg" width="300" style={{display: "block", margin: "0 auto"}}></img>
<img src="/images/mot/3o.jpg" width="300" style={{display: "block", margin: "0 auto"}}></img>

Screenshot of 81st, 91st, and 101st frame from PETS09-S2L1 dataset with occlusion handling.

- Date: April 2015 to Juli 2015
- A Project of Visual Computing Lab Course, Department of Computer Graphics, University of Bonn, Germany




Multiple Object Tracking using Particle Filter