Title :
View Invariant Appearance-Based Person Reidentification Using Fast Online Feature Selection and Score Level Fusion
Author :
Eisenbach, Markus ; Kolarow, Alexander ; Schenk, Konrad ; Debes, Klaus ; Gross, Horst-Michael
Author_Institution :
Neuroinf. & Cognitive Robot. Lab., Ilmenau Univ. of Technol., Ilmenau, Germany
Abstract :
Fast and robust person reidentification is an important task in multi-camera surveillance and automated access control. We present an efficient appearance-based algorithm, able to reidentify a person regardless of occlusions, distance to the camera, and changes in view and lighting. The use of fast online feature selection techniques enables us to perform reidentification in hyper-real-time for a multi-camera system, by taking only 10 seconds for evaluating 100 minutes of HD-video data. We demonstrate, that our approach surpasses current appearance-based state-of-the-art in reidentification quality and computational speed and sets a new reference in non-biometric reidentification.
Keywords :
cameras; feature extraction; image fusion; object tracking; video signal processing; HD-video data; automated access control; multicamera surveillance; nonbiometric reidentification; online feature selection techniques; score level fusion; time 10 s; time 100 min; view invariant appearance-based person reidentification; Cameras; Computational modeling; Feature extraction; Real-time systems; Robustness; Surveillance; Training; Appearance-based Reidentification; Joint Mutual Information; Online Feature Selection; Ranking; Score Level Fusion; Scores;
Conference_Titel :
Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2499-1
DOI :
10.1109/AVSS.2012.81
