Online multi-face detection and tracking using detector confidence and structured SVMs

Francesco Comaschi; Sander Stuijk; Twan Basten; Henk Corporaal

doi:10.1109/AVSS.2015.7301767

Online multi-face detection and tracking using detector confidence and structured SVMs

Francesco Comaschi, Sander Stuijk, Twan Basten, Henk Corporaal

Electronic Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

13 Citations (Scopus)

2 Downloads (Pure)

Abstract

Online detection and tracking of a variable number of faces in video is a crucial component in many real-world applications ranging from video-surveillance to online gaming. In this paper we propose FAST-DT, a fully automated system capable of detecting and tracking a variable number of faces online without relying on any scene-specific cues. FAST-DT integrates a generic face detector with an adaptive structured output SVM tracker and uses the detector's continuous confidence to solve the target creation and removal problem. We improve in recall and precision over a state-of-the-art method on a video dataset of more than two hours while providing in addition an increase in throughput.

Original language	English
Title of host publication	2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 26-28 August 2015, Karlsruhe, Germany
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
DOIs	https://doi.org/10.1109/AVSS.2015.7301767
Publication status	Published - Aug 2015

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Comaschi, F., Stuijk, S., Basten, T., & Corporaal, H. (2015). Online multi-face detection and tracking using detector confidence and structured SVMs. In 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 26-28 August 2015, Karlsruhe, Germany (pp. 1-6). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/AVSS.2015.7301767

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title = "Online multi-face detection and tracking using detector confidence and structured SVMs",

abstract = "Online detection and tracking of a variable number of faces in video is a crucial component in many real-world applications ranging from video-surveillance to online gaming. In this paper we propose FAST-DT, a fully automated system capable of detecting and tracking a variable number of faces online without relying on any scene-specific cues. FAST-DT integrates a generic face detector with an adaptive structured output SVM tracker and uses the detector's continuous confidence to solve the target creation and removal problem. We improve in recall and precision over a state-of-the-art method on a video dataset of more than two hours while providing in addition an increase in throughput.",

author = "Francesco Comaschi and Sander Stuijk and Twan Basten and Henk Corporaal",

year = "2015",

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doi = "10.1109/AVSS.2015.7301767",

language = "English",

pages = "1--6",

booktitle = "2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 26-28 August 2015, Karlsruhe, Germany",

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Comaschi, F, Stuijk, S , Basten, T & Corporaal, H 2015, Online multi-face detection and tracking using detector confidence and structured SVMs. in 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 26-28 August 2015, Karlsruhe, Germany. Institute of Electrical and Electronics Engineers, Piscataway, pp. 1-6. https://doi.org/10.1109/AVSS.2015.7301767

Online multi-face detection and tracking using detector confidence and structured SVMs. / Comaschi, Francesco; Stuijk, Sander ; Basten, Twan et al.
2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 26-28 August 2015, Karlsruhe, Germany. Piscataway: Institute of Electrical and Electronics Engineers, 2015. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Online detection and tracking of a variable number of faces in video is a crucial component in many real-world applications ranging from video-surveillance to online gaming. In this paper we propose FAST-DT, a fully automated system capable of detecting and tracking a variable number of faces online without relying on any scene-specific cues. FAST-DT integrates a generic face detector with an adaptive structured output SVM tracker and uses the detector's continuous confidence to solve the target creation and removal problem. We improve in recall and precision over a state-of-the-art method on a video dataset of more than two hours while providing in addition an increase in throughput.

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Comaschi F, Stuijk S , Basten T , Corporaal H. Online multi-face detection and tracking using detector confidence and structured SVMs. In 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 26-28 August 2015, Karlsruhe, Germany. Piscataway: Institute of Electrical and Electronics Engineers. 2015. p. 1-6 doi: 10.1109/AVSS.2015.7301767

Online multi-face detection and tracking using detector confidence and structured SVMs

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