Camouflaged Object Detection and Tracking: A Survey
December 25, 2020 ยท The Cartographer ยท ๐ International Journal of Image and Graphics
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Camouflaged Object Detection and Tracking: A Survey"
Evidence collected by the PWNC Scanner
Authors
Ajoy Mondal
arXiv ID
2012.13581
Category
cs.CV: Computer Vision
Citations
50
Venue
International Journal of Image and Graphics
Last Checked
1 day ago
Abstract
Moving object detection and tracking have various applications, including surveillance, anomaly detection, vehicle navigation, etc. The literature on object detection and tracking is rich enough, and several essential survey papers exist. However, the research on camouflage object detection and tracking limited due to the complexity of the problem. Existing work on this problem has been done based on either biological characteristics of the camouflaged objects or computer vision techniques. In this article, we review the existing camouflaged object detection and tracking techniques using computer vision algorithms from the theoretical point of view. This article also addresses several issues of interest as well as future research direction on this area. We hope this review will help the reader to learn the recent advances in camouflaged object detection and tracking.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computer Vision
๐
๐
Old Age
๐
๐
Old Age
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
๐
๐
Old Age
SSD: Single Shot MultiBox Detector
๐
๐
Old Age
Squeeze-and-Excitation Networks
๐
๐
Old Age
Fast R-CNN
๐
๐
Old Age