Feature-Level Fusion in Personal Identification

Gao, Yongsheng; Maggs, Michael Kevin

doi:10.1109/cvpr.2005.159

Cited by 7 publications

(1 citation statement)

References 23 publications

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“…Multi-modal biometric research [7]- [11] fuse evidence from multiple biometric sensors for determining the identity of an individual. Fusion of information from different sensors and sources can be carried out at three different levels: (1) Feature level fusion [11], (2) Score level fusion [8], [9] and (3) Decision level fusion [7]. Feature sets are rich source of information and to carry out feature level fusion the main problem is how to make the modalities of feature representation compatible.…”

Section: Introductionmentioning

confidence: 99%

Fusion of colour and facial features for person matching in a camera network

Kumar

Doğançay

2011

2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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In this paper we propose the idea of fusing information from facial features and colour intensity of a person for the purpose of matching targets across cameras with non-overlapping field of views in a camera sensor network. Cumulative Brightness Transfer Function (CBTF) is used to model and learn the relationship of separate radiometric responses of the cameras and difference in illumination of the field of views of the cameras. The non-parametric CBTF is computed for camera pairs in the camera network from the labelled training data. The same training data is used to learn the ensemble of eigen-faces for face matching. After face detection and localization eigen-facial components are extracted from each face in the frames of the image sequence. A match measure based on facial features of the candidate face against known reference faces observed in the camera network is defined based on feature vector. The match measure for colour intensity and facial feature is then fused together at the score level for the purpose of determining the identity of the person across non-overlapping cameras. Successful matching results are demonstrated on a real life data set collected from multiple cameras.978-1-4577-0674-5/11/$26.00

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