A Fast New Small Target Detection Algorithm Based on Regularizing Partial Differential Equation in IR Clutter

Zhang, Biyin; Zhang, Kun

doi:10.1007/978-3-540-72393-6_103

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The camera used for object detection can be mounted on-board a ship or off-board on the harbor, port, mobile surveillance platform and also to an aircraft or a drone. The authors of [2], [3] have used thermal cameras to address the above mentioned problems. Since thermal cameras are expensive in comparison to visible cameras, the later can be used as an alternative and also provides surveillance coverage of a larger region as well as complement other available sensors such as radar.…”

Section: Introductionmentioning

confidence: 99%

Unidentified Floating Object detection in maritime environment using dictionary learning

Venkatrayappa¹,

Desolneux²,

Hubert³

et al. 2020

Preprint

View full text Add to dashboard Cite

Maritime domain is one of the most challenging scenarios for object detection due to the complexity of the observed scene. In this article, we present a new approach to detect unidentified floating objects in the maritime environment. The proposed approach is capable of detecting floating objects without any prior knowledge of their visual appearance, shape or location. The input image from the video stream is denoised using a visual dictionary learned from a K-SVD algorithm. The denoised image is made of self-similar content. Later, we extract the residual image, which is the difference between the original image and the denoised (self-similar) image. Thus, the residual image contains noise and salient structures (objects). These salient structures can be extracted using an a contrario model. We demonstrate the capabilities of our algorithm by testing it on videos exhibiting varying maritime scenarios.

show abstract

Section: Introductionmentioning

confidence: 99%