Enabling video privacy through computer vision
By Andrew W. Senior, Sharath Pankanti, A. Hampapur, Lisa Gottesfeld Brown, Ying-li Tian, A. Ekin, J. Connell, Chiao-Fe Shu, M. Lu. 2005
234 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Ramesh Raskar
- Praneeth Vepakomma
- Zeng-Guang Hou
- Stan Z. Li
- Anil K. Jain
- Jorge Guajardo
- Fatemehsadat Mirshghallah
- Hadi Esmaeilzadeh
Citations in the corpus
- NoPeek: Information leakage reduction to share activations in distributed deep learning (2020, neutral): “[1, 2, 3, 4, 5, 2, 6, 7, 8, 9].”
- Privacy in Deep Learning: A Survey (2020, background): “This poses serious privacy concerns, as neural networks are used in different aspects of our lives [5, 3, 6, 7, 8, 9, 10].”
- A Survey on Differential Privacy for Unstructured Data Content (2022, methodology): “IBM pioneered the path to study privacypersevering video surveillance systematically and developed the PeopleVision system [85].”
- Learning Race from Face: A Survey (2014, background): “other side, the extraction of race sensitive information also helps to build more intelligent surveillance system for privacy protection, which could generate a video stream with all privacy-intrusive information encrypted or scrambled, such as PrivacyCam [201].”
- Handbook of Face Recognition, 2nd Edition (2011, background): “A report of the US General Accounting Office [49] quotes the 10th Circuit Court of Appeals decision to uphold the use of surveillance cameras on a public street without a warrant on grounds that “activity a person knowingly exposes to the public is not a subject of Fourth Amendment protection, and t”
- Privacy-Preserving Face Recognition (2009, background): “Some authors have proposed different complementary techniques for making surveillance cameras more privacy friendly, e.g. [32,12,39].”
- Respectful cameras: detecting visual markers in real-time to address privacy concerns (2007, unknown): “into these surveillance systems [48, 56, 12, 10, 18].”