The AIT Outdoor Tracker for Vehicles and Pedestrians in CLEAR2007
Multimodal Technologies for Perception of Humans
The AIT Multimodal Person Identification System for CLEAR 2007
Multimodal Technologies for Perception of Humans
Robust multimodal audio---visual processing for advanced context awareness in smart spaces
Personal and Ubiquitous Computing
Color face recognition for degraded face images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A robot learns to know people: first contacts of a robot
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
2D person tracking using Kalman filtering and adaptive background learning in a feedback loop
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
The AIT outdoors tracking system for pedestrians and vehicles
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
A decision fusion system across time and classifiers for audio-visual person identification
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
ISL person identification systems in the CLEAR evaluations
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Kalman tracking with target feedback on adaptive background learning
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
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This paper describes the video-based face recognition evaluation performed under the CHIL project and the systems that participated to it, along with the obtained first year results. The evaluation methodology comprises a specially built database of videos and an evaluation protocol. Two complete automatic face detection and recognition systems from two academic institutions participated to the evaluation. For comparison purposes, a baseline system is also developed using well-known methods for face detection and recognition.