Skip to Main content Skip to Navigation
Conference papers

People detection and re-identification for multi surveillance cameras

Abstract : Re-identifying people in a network of non overlapping cameras requires people to be accurately detected and tracked in order to build a strong visual signature of people appearances. Traditional surveillance cameras do not provide high enough image resolution to iris recognition algorithms. State of the art face recognition can not be easily applied to surveillance videos as people need to be facing the camera at a close range. The different lighting environment contained in each camera scene and the strong illumination variability occurring as people walk throughout a scene induce great variability in their appearance. %In addition, surveillance scene often display people whose images occlud each other onto the image plane making people detection difficult to achieve. In addition, people images occlud each other onto the image plane making people detection difficult to achieve. We propose a novel simplified Local Binary Pattern features to detect people, head and faces. A Mean Riemannian Covariance Grid (MRCG) is used to model appearance of tracked people to obtain highly discriminative human signature. The methods are evaluated and compared with the state of the art algorithms. We have created a new dataset from a network of 2 cameras showing the usefulness of our system to detect, track and re-identify people using appearance and face features.
Document type :
Conference papers
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download


https://hal.inria.fr/hal-00656108
Contributor : Etienne Corvee <>
Submitted on : Tuesday, January 3, 2012 - 4:20:39 PM
Last modification on : Thursday, February 11, 2021 - 2:56:34 PM
Long-term archiving on: : Wednesday, April 4, 2012 - 2:50:32 AM

Files

Example.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00656108, version 1

Collections

Citation

Etienne Corvee, Slawomir Bak, François Bremond. People detection and re-identification for multi surveillance cameras. VISAPP - International Conference on Computer Vision Theory and Applications -2012, Feb 2012, Rome, Italy. ⟨hal-00656108⟩

Share

Metrics

Record views

1065

Files downloads

1209