Adaptive visual tracking and recognition using particle filters

TitleAdaptive visual tracking and recognition using particle filters
Publication TypeConference Papers
Year of Publication2003
AuthorsZhou S, Chellappa R, Moghaddam B
Conference NameMultimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Date Published2003/07//
Keywordsadaptive, adaptive-velocity, appearance, extra-personal, Filtering, filters;, image, intra-personal, model;, MOTION, particle, processing;, recognition;, sequence;, sequences;, series, signal, spaces;, theory;, TIME, tracking;, video, visual

This paper presents an improved method for simultaneous tracking and recognition of human faces from video, where a time series model is used to resolve the uncertainties in tracking and recognition. The improvements mainly arise from three aspects: (i) modeling the inter-frame appearance changes within the video sequence using an adaptive appearance model and an adaptive-velocity motion model; (ii) modeling the appearance changes between the video frames and gallery images by constructing intra- and extra-personal spaces; and (iii) utilization of the fact that the gallery images are in frontal views. By embedding them in a particle filter, we are able to achieve a stabilized tracker and an accurate recognizer when confronted by pose and illumination variations.