2021 IEEE International Conference on Image Processing (ICIP) 2021
DOI: 10.1109/icip42928.2021.9506204
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Using Fisheye Camera For Cost-Effective Multi-View People Localization

Abstract: In advanced multi-view video surveillance systems, people localization is usually a crucial part of the complete system and need to be accomplished in a short time to reserve sufficient processing time for subsequent high-level analysis. As the surveillance area increases, it is required to install a large number of cameras for multi-view people localization. To lower the equipment cost and setup time, we incorporate fisheye (or wide-angle) camera to an efficient vanishing point-based line sampling scheme for … Show more

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Cited by 3 publications
(1 citation statement)
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“…Passive positioning systems, however, place a significant emphasis on device-free localization (DFL) systems, which involve entities without electronic devices [12]. While camera-based solutions [13], [14] are typical examples, their computational intensity, high data rates, and privacy concerns arise due to the requirement for high-resolution images. To address these limitations, acoustic and ultrasonic systems [15], [16] typically solve such drawbacks but utilize signals with distinct propagation characteristics and frequencies whose performance is easily corrupted by environmental noise.…”
Section: Introductionmentioning
confidence: 99%
“…Passive positioning systems, however, place a significant emphasis on device-free localization (DFL) systems, which involve entities without electronic devices [12]. While camera-based solutions [13], [14] are typical examples, their computational intensity, high data rates, and privacy concerns arise due to the requirement for high-resolution images. To address these limitations, acoustic and ultrasonic systems [15], [16] typically solve such drawbacks but utilize signals with distinct propagation characteristics and frequencies whose performance is easily corrupted by environmental noise.…”
Section: Introductionmentioning
confidence: 99%