Non-causal Tracking by Deblatting

被引:3
|
作者
Rozumnyi, Denys [1 ]
Kotera, Jan [2 ]
Sroubek, Filip [2 ]
Matas, Jiri [1 ]
机构
[1] Czech Tech Univ, Fac Elect Engn, Ctr Machine Percept, Dept Cybernet, Prague, Czech Republic
[2] Czech Acad Sci, Inst Informat Theory & Automat, Prague, Czech Republic
来源
关键词
OBJECT TRACKING;
D O I
10.1007/978-3-030-33676-9_9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Tracking by Deblatting (Deblatting = deblurring and matting) stands for solving an inverse problem of deblurring and image matting for tracking motion-blurred objects. We propose non-causal Tracking by Deblatting which estimates continuous, complete and accurate object trajectories. Energy minimization by dynamic programming is used to detect abrupt changes of motion, called bounces. High-order polynomials are fitted to segments, which are parts of the trajectory separated by bounces. The output is a continuous trajectory function which assigns location for every real-valued time stamp from zero to the number of frames. Additionally, we show that from the trajectory function precise physical calculations are possible, such as radius, gravity or sub-frame object velocity. Velocity estimation is compared to the high-speed camera measurements and radars. Results show high performance of the proposed method in terms of Trajectory-IoU, recall and velocity estimation.
引用
收藏
页码:122 / 135
页数:14
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