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Proceedings ArticleDOI

Video analytics for surveillance camera networks

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TLDR
This paper addresses the key problems in the existing surveillance system, followed by some discussions on the integration of social signal and video search to enhance the traditional surveillance system.
Abstract
International usage and interest in Closed-Circuit Television (CCTV) for surveillance of public spaces has proved to be an effective in forensic, or reactive response to crime and terrorism. In the ideal scenario, it would be useful to detect events, in real-time or close to real-time, in order to mitigate possible harm. However, it is an issue to adequately monitor the video feeds with security guards. In this paper, we address the key problems in the existing surveillance system, followed by some discussions on the integration of social signal and video search to enhance the traditional surveillance system. We shows the performance of face-based identity inference under surveillance. as well as video indexing and search results. Finally, we discuss the related future research direction in this area.

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Citations
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Anomaly recovery from compressed spectral imagery via low-rank matrix minimization

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Energy and Communication Requirements for Network of E-Band Radars as Sensors

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References
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Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments

TL;DR: The database contains labeled face photographs spanning the range of conditions typically encountered in everyday life, and exhibits “natural” variability in factors such as pose, lighting, race, accessories, occlusions, and background.
Proceedings Article

Visual categorization with bags of keypoints

TL;DR: This bag of keypoints method is based on vector quantization of affine invariant descriptors of image patches and shows that it is simple, computationally efficient and intrinsically invariant.
Journal ArticleDOI

The FERET evaluation methodology for face-recognition algorithms

TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Proceedings ArticleDOI

Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition

TL;DR: A modification to the matching pursuit algorithm of Mallat and Zhang (1992) that maintains full backward orthogonality of the residual at every step and thereby leads to improved convergence is proposed.
Proceedings ArticleDOI

The FERET evaluation methodology for face-recognition algorithms

TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.