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Object Detection And Tracking In Wide Area Surveillance Using Thermal Imagery, Santosh Bhusal
Object Detection And Tracking In Wide Area Surveillance Using Thermal Imagery, Santosh Bhusal
UNLV Theses, Dissertations, Professional Papers, and Capstones
The main objective behind this thesis is to examine how existing vision-based detection and tracking algorithms perform in thermal imagery-based video surveillance. While color-based surveillance has been extensively studied, these techniques can not be used during low illumination, at night, or with lighting changes and shadows which limits their applicability. The main contributions in this thesis are (1) the creation of a new color-thermal dataset, (2) a detailed performance comparison of different color-based detection and tracking algorithms on thermal data and (3) the proposal of an adaptive neural network for false detection rejection.
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