CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Privacy protection by concealing persons in circumstantial video image
Proceedings of the 2001 workshop on Perceptive user interfaces
Privacy protecting data collection in media spaces
Proceedings of the 12th annual ACM international conference on Multimedia
Preserving Privacy by De-Identifying Face Images
IEEE Transactions on Knowledge and Data Engineering
E.cient Aggregation of encrypted data in Wireless Sensor Networks
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
PICO: Privacy through Invertible Cryptographic Obscuration
CVIIE '05 Proceedings of the Computer Vision for Interactive and Intelligent Environment
Scrambling for Video Surveillance with Privacy
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Tools for protecting the privacy of specific individuals in video
EURASIP Journal on Applied Signal Processing
Incremental Learning for Robust Visual Tracking
International Journal of Computer Vision
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Efficient object-based video inpainting
Pattern Recognition Letters
Real-time elliptical head contour detection under arbitrary pose and wide distance range
Journal of Visual Communication and Image Representation
Privacy preserving: hiding a face in a face
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Privacy Protected Surveillance Using Secure Visual Object Coding
IEEE Transactions on Circuits and Systems for Video Technology
Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)
Proceedings of the international conference on Multimedia
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Video surveillance has become a ubiquitous feature of the modern day life. However, the widespread use of video surveillance has raised concerns about the privacy of people. In this paper, we propose a novel video surveillance with a privacy preserving mechanism. We achieve this by combining the techniques of pedestrian tracking based on a Markov chain with two hidden states, elliptical head contour detection and encryption. The detected pedestrian face/head is obscured by encrypting with a unique key derived from a master key for the privacy preservation purpose. The surveillance video can be viewed with complete privacy or by revoking the privacy of any subset of pedestrians while ensuring complete privacy of the remaining pedestrians.The performance evaluation on many challenging surveillance scenarios shows that the proposed mechanism can effectively and robustly track multiple pedestrians and obscure their faces/head in real time.