Non-Causal Tracking by Deblatting

Abstract

Tracking by Deblatting 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.

arXiv commentPublished at GCPR 2019, oral presentation, Best Paper Honorable Mention Award

References in corpus (4)

• The World of Fast Moving Objects
• Intra-frame Object Tracking by Deblatting
• Non-Causal Tracking by Deblatting
• Tracking for Half an Hour

Cited by in corpus (6)

• Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects
• Non-Causal Tracking by Deblatting
• FMODetect: Robust Detection of Fast Moving Objects
• Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
• Learning-based Tracking of Fast Moving Objects
• Monocular Visual Analysis for Electronic Line Calling of Tennis Games