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Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos [article]

Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys
2022 arXiv   pre-print
We propose a method for jointly estimating the 3D motion, 3D shape, and appearance of highly motion-blurred objects from a video.  ...  To this end, we model the blurred appearance of a fast moving object in a generative fashion by parametrizing its 3D position, rotation, velocity, acceleration, bounces, shape, and texture over the duration  ...  This research was supported by a Google Focused Research Award, Innosuisse grant No. 34475.1 IP-ICT, Research Center for Informatics (project CZ.02.1.01/0.0/0.0/16 019/0000765 funded by OP VVV), and a  ... 
arXiv:2111.14465v2 fatcat:vz6rgcrlkrdqtn4tqh63kpwfbq

SINGLE-IMAGE 3D RECONSTRUCTION OF BALL VELOCITY AND SPIN FROM MOTION BLUR - An Experiment in Motion-from-Blur
english

2008 Proceedings of the Third International Conference on Computer Vision Theory and Applications   unpublished
We present an algorithm for analyzing a single calibrated image of a ball and for reconstructing its instantaneous motion (3D velocity and spin) by exploiting motion blur.  ...  In a broader scenario, we exploit this specific problem for discussing motivations, advantages and limits of reconstructing motion from motion blur.  ...  On the other hand, the problem of estimating the motion of a ball in the 3D space has been extensively treated in video tracking literature (Gopal Pingali and Jean, 2000; J Ren and Xu, 2004; Jonathan  ... 
doi:10.5220/0001088000220029 fatcat:w3nigjgonzf6vltmc3enqwpugy

Techniques for Object Tracking: Algorithms and Benchmarks [article]

(:Unkn) Unknown, University, My, Haibin Ling
2020
210 video sequences of 30 planar objects sampled in the wild.  ...  Visual object tracking is a fundamental computer vision task, and has a wide range of applications including video surveillance, human computer interaction, augmented reality, vehicle navigation, robotics  ...  7: Estimate motion from blur via the blur coefficients of the estimated target 8: Update the template set T t with blur detection 9: Update the sample set S t by resampling with p Experiments We implemented  ... 
doi:10.34944/dspace/3165 fatcat:q7st2df2y5g5xbov7seco4m5vu