Machine Vision Beyond Visible Spectrum 2011
DOI: 10.1007/978-3-642-11568-4_10
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Abstract: This chapter discusses the challenges of automating surveillance and reconnaissance tasks for infra-red visual data obtained from aerial platforms. These problems have gained significant importance over the years, especially with the advent of lightweight and reliable imaging devices. Detection and tracking of objects of interest has traditionally been an area of interest in the computer vision literature. These tasks are rendered especially challenging in aerial sequences of infra red modality. The chapter gi… Show more

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Cited by 26 publications
(26 citation statements)
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References 32 publications
(41 reference statements)
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“…When the MSV based tracker fails to locate the target due to large ego-motion, the system compensates the egomotion using a multi-resolution scheme, which employs the Gabor responses of two consecutive frames, and assumes a pseudo-perspective motion model. Arbeláez, et al [9] Paper [24] proposed a novel design for region-based object detectors that integrates efficiently top-down information from scanning-windows part models and global appearance cues. Divya M [25] developed an algorithm for detecting, tracking of moving objects from the source by using LABVIEW vision module.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…When the MSV based tracker fails to locate the target due to large ego-motion, the system compensates the egomotion using a multi-resolution scheme, which employs the Gabor responses of two consecutive frames, and assumes a pseudo-perspective motion model. Arbeláez, et al [9] Paper [24] proposed a novel design for region-based object detectors that integrates efficiently top-down information from scanning-windows part models and global appearance cues. Divya M [25] developed an algorithm for detecting, tracking of moving objects from the source by using LABVIEW vision module.…”
Section: Related Workmentioning
confidence: 99%
“…Some of these approaches introduced the use of multiple methodologies or techniques and there are combinations and intersections among different methodologies as most of the proposed algorithms has limitation. The goal of tracking is to identify all foreground regions as long as they remain visible in a frame [24]. Stated below are some of the challenges; i.…”
Section: Challenges In Trackingmentioning
confidence: 99%
“…Correspondence between features are established using a nearest neighbor search. We use the open source implementation available in [3] …”
Section: B Motion Parameter Extractionmentioning
confidence: 99%
“…However, sounding object segmentation is not effective in some complex scenarios. An analysis of moving object detection using different image registration techniques was presented in [6].…”
Section: Introductionmentioning
confidence: 99%