Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector

Autor:	Václav Hlaváč, Vojtech Franc, Michal Uricar
Rok vydání:	2015
Předmět:	Landmark Computer science business.industry Detector Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Kalman filter Tracking (particle physics) Tree (data structure) Face (geometry) Computer vision Tree based Artificial intelligence business
Zdroj:	ICCV Workshops
DOI:	10.1109/iccvw.2015.127
Popis:	In this paper we describe a tracker of facial landmarks submitted to the 300 Videos in the Wild (300-VW) challenge. Our tracker is a straightforward extension of a well tuned tree-based DPM landmark detector originally developed for static images. The tracker is obtained by applying the static detector independently in each frame and using the Kalman filter to smooth estimates of the face positions as well as to compensate possible failures of the face detector. The resulting tracker provides a robust estimate of 68 landmarks running at 5 fps on an ordinary PC. We provide an open-source implementation of the proposed tracker at (http://cmp.felk.cvut.cz/~uricamic/clandmark/).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::84ba8367d6d26b23879531b87da14930 https://doi.org/10.1109/iccvw.2015.127 Zobrazit plný text záznamu