2016
DOI: 10.1016/j.ijleo.2015.10.130
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Robust single object tracker based on kernelled patch of a fixed RGB camera

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Cited by 8 publications
(4 citation statements)
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“…Thus, an improvment in the detection algorithm will lead to better tracking accuracy accordingly. Among others, some good trackingby-detection algorithms are presented in [14][15][16][17][18][19][20]. Some of these tracking approaches are able to function wellunder good lighting conditions, however, their performance deteriorate as the environment becomes darker such as in night surveillance application.…”
Section: Related Workmentioning
confidence: 99%
“…Thus, an improvment in the detection algorithm will lead to better tracking accuracy accordingly. Among others, some good trackingby-detection algorithms are presented in [14][15][16][17][18][19][20]. Some of these tracking approaches are able to function wellunder good lighting conditions, however, their performance deteriorate as the environment becomes darker such as in night surveillance application.…”
Section: Related Workmentioning
confidence: 99%
“…The section would then go to discuss CNN and its applications in tracking systems. The majority of the previous studies have investigated the use of single cameras for object tracking [1][2][3][4][5][6].…”
Section: Related Workmentioning
confidence: 99%
“…The study reported in [iterature [5] makes use of a Probability Hypothesis Density (PHD) filter to track the visual features which belong to a vehicle detected via a single camera. In another study [6], combination of a kernel-based histogram and a feature detector approach is proposed for the purpose of object tracking. The study employs two color spaces, i.e., RGB and HSI, and the kernel method to improve histogram accumulation.…”
Section: Related Workmentioning
confidence: 99%
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