Title
Multi-Task Structure-aware Context Modeling for Robust Keypoint-based Object Tracking.
Abstract
In the fields of computer vision and graphics, keypoint-based object tracking is a fundamental and challenging problem, which is typically formulated in a spatio-temporal context modeling framework. However, many existing keypoint trackers are incapable of effectively modeling and balancing the following three aspects in a simultaneous manner: temporal model coherence across frames, spatial model consistency within frames, and discriminative feature construction. To address this problem, we propose a robust keypoint tracker based on spatio-temporal multi-task structured output optimization driven by discriminative metric learning. Consequently, temporal model coherence is characterized by multi-task structured keypoint model learning over several adjacent frames; spatial model consistency is modeled by solving a geometric verification based structured learning problem; discriminative feature construction is enabled by metric learning to ensure the intra-class compactness and inter-class separability. To achieve the goal of effective object tracking, we jointly optimize the above three modules in a spatio-temporal multi-task learning scheme. Furthermore, we incorporate this joint learning scheme into both single-object and multi-object tracking scenarios, resulting in robust tracking results. Experiments over several challenging datasets have justified the effectiveness of our single-object and multi-object trackers against the state-of-the-art.
Year
DOI
Venue
2019
10.1109/TPAMI.2018.2818132
IEEE transactions on pattern analysis and machine intelligence
Keywords
Field
DocType
Object tracking,Task analysis,Robustness,Computational modeling,Coherence,Feature extraction
Graphics,Computer vision,Multi-task learning,Computer science,Structured prediction,Robustness (computer science),Feature extraction,Context model,Video tracking,Artificial intelligence,Discriminative model
Journal
Volume
Issue
ISSN
41
4
1939-3539
Citations 
PageRank 
References 
1
0.35
38
Authors
8
Name
Order
Citations
PageRank
Xi Li143.08
Liming Zhao21756.01
Wei Ji3116.78
Yiming Wu431.39
Fei Wu52209153.88
Yang Ming-Hsuan615303620.69
Dacheng Tao719032747.78
Ian D. Reid85864364.59