Soft biometrics in low resolution and low quality CCTV videos
Soft biometrics are biometric traits that do not offer exact human identification, however, they can provide adequate information to narrow-down the search space and give valuable insights for the subject in question. In this work, we examine the issues that emerge by analysing CCTV videos for soft...
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| Vydané v: | 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) s. 24 |
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| Hlavní autori: | , , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
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Stevenage, UK
IET
2016
The Institution of Engineering & Technology |
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| ISBN: | 1785614002, 9781785614002 |
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| Abstract | Soft biometrics are biometric traits that do not offer exact human identification, however, they can provide adequate information to narrow-down the search space and give valuable insights for the subject in question. In this work, we examine the issues that emerge by analysing CCTV videos for soft biometrics and propose a methodology for extracting soft biometrics from low-quality and low-resolution video footage taken from real, street CCTV cameras. The proposed approach is based on the concept of Exemplars, that is, to find matches of the examined subject over a labelled dataset, which is able to encode the quality, colour and light variations of the surveillance images. Experiments have been conducted in a new challenging dataset that we introduce in this paper. It has been created using real CCTV footage, enhanced with a wide range of annotations from multiple people, and a manually created segmentation mask for each detection/person. This dataset is made available to scientific community for comparison and improvement of their methodologies in real-world scenarios. |
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| AbstractList | Soft biometrics are biometric traits that do not offer exact human identification, however, they can provide adequate information to narrow-down the search space and give valuable insights for the subject in question. In this work, we examine the issues that emerge by analysing CCTV videos for soft biometrics and propose a methodology for extracting soft biometrics from low-quality and low-resolution video footage taken from real, street CCTV cameras. The proposed approach is based on the concept of Exemplars, that is, to find matches of the examined subject over a labelled dataset, which is able to encode the quality, colour and light variations of the surveillance images. Experiments have been conducted in a new challenging dataset that we introduce in this paper. It has been created using real CCTV footage, enhanced with a wide range of annotations from multiple people, and a manually created segmentation mask for each detection/person. This dataset is made available to scientific community for comparison and improvement of their methodologies in real-world scenarios. |
| Author | Semertzidis, T Axenopoulos, A Daras, P Karadimos, P |
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| DOI | 10.1049/ic.2016.0092 |
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| Keywords | segmentation mask low resolution-low quality CCTV video video cameras video coding biometrics (access control) closed circuit television quality encoding surveillance image colour variation image segmentation surveillance image light variation soft biometric extraction image colour analysis Exemplar concept video surveillance image resolution |
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| SubjectTerms | Annotations Biometrics Closed circuit television Computer vision and image processing techniques Datasets Image and video coding Image recognition Image segmentation Security management Video Video signal processing |
| Title | Soft biometrics in low resolution and low quality CCTV videos |
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