Laser & Optoelectronics Progress, Volume. 56, Issue 12, 121501(2019)
Multiple Object Tracking Based on Kernelized Correlation Filter
A motion model is used to overcome the shortcoming of the low tracking accuracy of a kernelized correlation filter (KCF) based only on a target appearance model. The intersection-over-union (IOU) between the detection target bounding box and the predicted target bounding box was calculated. The optimal correlation among the targets was determined using the Hungarian algorithm. Both the KCF and IOU models are characterized by fast responses; therefore, the algorithm has the ability to process data online. The experiments were conducted on the public 2DMOT2015 and MOT16 datasets. Compared with the other state-of-the-art method, the tracking accuracy of the proposed method is higher than 10% while ensuring a processing speed of 30 frame/s or faster.
Get Citation
Copy Citation Text
Huan Liu, Chungeng Li, Jubai An, Guo Wei, Junli Ren. Multiple Object Tracking Based on Kernelized Correlation Filter[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121501
Category: Machine Vision
Received: Dec. 4, 2018
Accepted: Jan. 14, 2019
Published Online: Jun. 13, 2019
The Author Email: Li Chungeng (li_chungeng@dlmu.edu.cn)