Print Email Facebook Twitter Online multi-face detection and tracking using detector confidence and structured SVMs Title Online multi-face detection and tracking using detector confidence and structured SVMs Author Comaschi, F. Stuijk, S. Basten, A.A. Corporaal, H. Publication year 2015 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. cop. 2015 IEEE. Subject ICTESI - Embedded Systems InnovationsTS - Technical SciencesDetectorsSupport vector machinesTarget trackingAutomationTarget trackingThroughputFace detection and trackingFace recognition To reference this document use: http://resolver.tudelft.nl/uuid:ef3cf124-337c-4ca2-8b97-6de8812983e4 DOI https://doi.org/10.1109/avss.2015.7301767 TNO identifier 533499 Publisher Institute of Electrical and Electronics Engineers Inc. ISBN 9781467376327 Source 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015, 25 August 2015 through 28 August 2015 Article number 7301767 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.