Foreground object detection under camouflage using multiple camera-based codebooks

Malathi, T.; Bhuyan, M. K.

doi:10.1109/indcon.2013.6726155

Cited by 8 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The author concluded that the method is giving good results for detecting camouflaged objects. Recently, Malathi and Bhuyan [25] developed a background subtraction scheme to detect the camouflaged object. Here, pixels corresponding to the background are quantized into codebooks, sufficient to represent a background.…”

Section: Other Techniquesmentioning

confidence: 99%

Camouflaged Object Detection and Tracking: A Survey

Mondal

2020

Int. J. Image Grap.

View full text Add to dashboard Cite

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 there exist several essential survey papers. However, the research on camouflage object detection and tracking is 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 paper, we review the existing camouflaged object detection and tracking techniques using computer vision algorithms from the theoretical point of view. This paper also addresses several issues of interest as well as future research direction in this area. We hope this paper will help the reader to learn the recent advances in camouflaged object detection and tracking.

show abstract

Section: Other Techniquesmentioning

confidence: 99%

Camouflaged Object Detection and Tracking: A Survey

Mondal

2020

Int. J. Image Grap.

View full text Add to dashboard Cite

show abstract

“…For moving target detection with a dynamic background, it is difficult to achieve complete foreground detection only by updating the background model with the limited pixels provided by similar frames. Malathi, T et al [20] proposed a multiview foreground segmentation method considering the differences in views to correct detection results. Based on the theory of epipolar geometry, Dey et al [21] proposed using multiple sets of basic matrices for background modeling to achieve moving target detection in video sequences.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Method of Dynamic Camouflage Effect Based on Multifeature Constraints

Gan

Liu

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Most of the existing camouflage effect evaluation methods are for static images, and the evaluation methods have problems of singularity and subjectivity. Therefore, this paper takes the camouflage of moving objects in video as the research object and proposes a comprehensive camouflage effect evaluation method based on multifeature constraints. This method has two parts: the Homo-F (homography transformation and optical flow) target detection module and the camouflage effect evaluation module. The former uses the optical flow method to correct the target detection results obtained by the homography transformation. The latter performs statistical analysis on the target detection results and the feature information of the neighborhood background and describes the effect of camouflage from multiple angles such as the degree of target fusion, the repetition rate and the target detection stability in the video sequence. The experimental results of the comprehensive camouflage evaluation of moving targets show that the proposed method can objectively and accurately evaluate moving targets with different levels of camouflage, which verifies the reliability and effectiveness of the method.

show abstract

Camouflage design, assessment and breaking techniques: a survey

Mondal

2021

Multimedia Systems

View full text Add to dashboard Cite

Foreground object detection under camouflage using multiple camera-based codebooks

Cited by 8 publications

References 7 publications

Camouflaged Object Detection and Tracking: A Survey

Camouflaged Object Detection and Tracking: A Survey

An Evaluation Method of Dynamic Camouflage Effect Based on Multifeature Constraints

Camouflage design, assessment and breaking techniques: a survey

Contact Info

Product

Resources

About