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Experimental Analysis of Face Recognition on Still and CCTV Images

Experimental Analysis of Face Recognition on Still and CCTV Images,10.1109/AVSS.2008.15,Shaokang Chen,Erik Berglund,Abbas Bigdeli,Conrad Sanderson,Bri

Experimental Analysis of Face Recognition on Still and CCTV Images   (Citations: 2)
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Although automatic identity inference based on faces has shown success when using high quality images, for CCTV based images it is hard to attain similar levels of perfor- mance. Furthermore, compared to recognition based on static images, relatively few studies have been done for video based face recognition. In this paper, we present an empirical analysis and comparison of face recognition us- ing high quality and CCTV images in several important as- pects: image quality (including resolution, noise, blurring and interlacing) as well as geometric transformations (such as translations, rotations and scale changes). The results show that holistic face recognition can be tolerant to image quality degradation but can also be highly influenced by ge- ometric transformations. In addition, we show that camera intrinsics have much influence - when using different cam- eras for collecting gallery and probe images the recogni- tion rate is considerably reduced. We also show that the classification performance can be considerably improved by straightforward averaging of consecutive face images from a CCTV video sequence.
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    • ...Recognizing how important this topic is, researchers are performing more and more experiments using CCTV (Closed Circuit Television) images, exploring performance of both humans [10] and computers [4]...
    • ...Other databases (like FERET or CMU PIE) can be used for training, similar to the setup from [4]...

    Mislav Grgicet al. SCface - surveillance cameras face database

    • ...Recent research on processing surveillance images [1, 2] has provided the ability to track objects and human faces on video streams...
    • ...Automatic object tagging for CCTV surveillance has been the subject of research [1-3, 9, 10]...

    Yan Yanget al. Content-Based Video Retrieval (CBVR) System for CCTV Surveillance Vide...

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