Abstract:A high level of manual visual surveillance of complex scenes is dependent solely on the awareness of human operators whereas an autonomous person detection solution could assist by drawing their attention to potential issues, in order to reduce cognitive burden and achieve more with less manpower. Our research addressed the challenge of the reliable identification of persons in a scene who may be partially obscured by structures or by handling weapons or tools. We tested the efficacy of a recently published co… Show more
“…To address this challenge, we considered how a person could be partly hidden by physical structures, by handling personal infantry weapons, or by the tactical pose they had adopted. 2 We applied current computer vision techniques to achieve reliable detections within 2D images by investigating an approach described by Felzenszwalb and coworkers. 3 This technique is based on the construction of cascaded, non-linear classifiers from part-based deformable models.…”
An autonomous person detection solution could help alert surveillance operators to potential issues, reducing the cognitive burden and achieving more with less manpower.
“…To address this challenge, we considered how a person could be partly hidden by physical structures, by handling personal infantry weapons, or by the tactical pose they had adopted. 2 We applied current computer vision techniques to achieve reliable detections within 2D images by investigating an approach described by Felzenszwalb and coworkers. 3 This technique is based on the construction of cascaded, non-linear classifiers from part-based deformable models.…”
An autonomous person detection solution could help alert surveillance operators to potential issues, reducing the cognitive burden and achieving more with less manpower.
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