On Learning Mechanical Laws of Motion From Video Using Neural Networks
In computer vision, physics plays an important role in several applications. In this work, we teach a machine to detect the mechanical laws of motion of physical objects using video, and show how the results can be useful for computer vision tasks. We assume no prior knowledge of physics, beyond a t...
Main Authors: | Pradyumna Chari, Yunhao Ba, Shijie Zhou, Chinmay Talegaonkar, Shreeram Athreya, Achuta Kadambi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10078253/ |
Similar Items
-
Satellite Video Tracking by Multi-Feature Correlation Filters with Motion Estimation
by: Yan Zhang, et al.
Published: (2022-06-01) -
Vehicle Tracking on Satellite Video Based on Historical Model
by: Shili Chen, et al.
Published: (2022-01-01) -
Mitigating Distractor Challenges in Video Object Segmentation through Shape and Motion Cues
by: Jidong Peng, et al.
Published: (2024-02-01) -
Motion Vector Extrapolation for Video Object Detection
by: Julian True, et al.
Published: (2023-06-01) -
Object detection and tracking in video sequences: formalization, metrics and results
by: R. P. Bohush, et al.
Published: (2021-03-01)