The AIT 2D Face Detection and Tracking System for CLEAR 2007

Abstract

This paper describes the AIT system for 2D face tracking and the results obtained in the CLEAR 2007 evaluations. The system is based on the complementary operation of a set of face detectors and a deterministic tracker based on color. To minimize false positives, the system is applied on the body regions provided by a stochastic body tracker, and utilizes a detection validation scheme based on color and texture modeling of the faces.

People

Dr. Ghassan Karame

Doctoral Student (2007 – 2011)

Professor, Ruhr University Bochum 

BibTex

@INPROCEEDINGS{stergiou2007detection,
	isbn = {978-3-540-68584-5},
	abbrev_source_title = {LNCS},
	doi = {10.1007/978-3-540-68585-2_9},
	year = {2008},
	booktitle = {Multimodal Technologies for Perception of Humans},
	volume = {4625},
	type = {Conference Paper},
	editor = {Stiefelhagen, Rainer and Bowers, Rachel and Fiscus, Jonathan},
	journal = {Lecture Notes in Computer Science},
	author = {Stergiou, Andreas and Karame, Ghassan and Pnevmatikakis, Aristodemos and Polymenakos, Lazaros},
	abstract = {This paper describes the AIT system for 2D face tracking and the results obtained in the CLEAR 2007 evaluations. The system is based on the complementary operation of a set of face detectors and a deterministic tracker based on color. To minimize false positives, the system is applied on the body regions provided by a stochastic body tracker, and utilizes a detection validation scheme based on color and texture modeling of the faces.},
	issn = {0302-9743},
	language = {en},
	address = {Berlin},
	publisher = {Springer},
	title = {The AIT 2D Face Detection and Tracking System for CLEAR 2007},
	PAGES = {113 - 125},
	Note = {2nd International Workshop on Classification of Events, Activities and Relationships (CLEAR 2007); Conference Location: Baltimore, MD, USA; Conference Date: May 8-11, 2007}
}

Research Collection: 20.500.11850/693629