Deep Continuous Conditional Random Fields With Asymmetric Inter-Object Constraints for Online Multi-Object Tracking

Online multi-object tracking (MOT) is a challenging problem and has many important applications including intelligence surveillance, robot navigation, and autonomous driving. In existing MOT methods, individual object's movements and inter-object relations are mostly modeled separately and rela...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2019-04, Vol.29 (4), p.1011-1022
Main Authors: Zhou, Hui, Ouyang, Wanli, Cheng, Jian, Wang, Xiaogang, Li, Hongsheng
Format: Article
Language:English
Subjects:
asymmetric pairwise terms
Asymmetry
Autonomous navigation
Conditional random fields
continuous conditional random fields
Convolution
deep neural networks
Feature extraction
Intelligence
Machine learning
Mathematical model
Multi-object tracking
Neural networks
Tracking
Trajectory
Visual discrimination
Visualization
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