Efficient privacy preserving video surveillance
By M. Upmanyu, Anoop M. Namboodiri, Kannan Srinathan, C. V. Jawahar. 2009
115 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
- Luc Van Gool
- Jitendra Malik
- Dacheng Tao
- Trevor Darrell
- Xiaogang Wang
- Ming-Hsuan Yang
- Abhinav Kumar Gupta
- Andrew Zisserman
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 Preserving Image Queries for Camera Localization (2019, methodology): “Similar approaches were explored for image retrieval [59], face recognition [19], video surveillance [67], biometric verification [68], and detecting computer screens in first-person video [33].”
- Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2018, background): “This general area of work is also related to efforts in building privacy preserving methods [31, 26, 33, 13], where the objective is to obfuscate the input while still being able to perform a recognition task.”
- A survey on biometric cryptosystems and cancelable biometrics (2011, background): “Privacy preserving video surveillance has been proposed in [185].”
- Privacy Preserving Image-Based Localization (2019, background): “Other applications include image retrieval [66], face recognition [22], video surveillance [75],”