Proceedings ArticleDOI
Smart space construction: Integration of robots in a visual sensor network
Ayesha Chaudhary,Santanu Chaudhury +1 more
- pp 689-694
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TLDR
An architecture of a smart space built with robots and distributed smart cameras connected via a network using vision as the basic sensing mechanism and a MAP based object identification scheme which works on Grassmannian manifold is presented.Abstract:
This paper presents an architecture of a smart space built with robots and distributed smart cameras connected via a network. We present a framework for tracking and recording presence of objects over a large space using vision as the basic sensing mechanism. A MAP based object identification scheme which works on Grassmannian manifold has been presented. Experimental results establish validity of the approach.read more
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A database for person re-identification in multi-camera surveillance networks
TL;DR: In this paper, the authors presented a new challenging multi-camera surveillance database designed for the task of person re-identification, consisting of 150 unscripted sequences of subjects travelling in a building environment though up to eight camera views, appearing from various angles and in varying illumination conditions.
References
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Journal ArticleDOI
Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition
TL;DR: This paper discusses how commonly used parametric models for videos and image sets can be described using the unified framework of Grassmann and Stiefel manifolds, and derives statistical modeling of inter and intraclass variations that respect the geometry of the space.
Journal ArticleDOI
Merging and splitting eigenspace models
TL;DR: New deterministic methods that, given two eigenspace models-each representing a set of n-dimensional observations-will: merge the models to yield a representation of the union of the sets and split one model from another to represent the difference between the sets are presented.
Journal ArticleDOI
Appearance-based person reidentification in camera networks: problem overview and current approaches
TL;DR: Algorithms for speeding up the computation of signatures are discussed and very fast procedures for computing co-occurrence matrices are described by leveraging a generalization of the integral representation of images.
Proceedings ArticleDOI
Multiple-shot human re-identification by Mean Riemannian Covariance Grid
TL;DR: A new appearance model combining information from multiple images to obtain highly discriminative human signature, called Mean Riemannian Covariance Grid (MRCG) is proposed, which outperforms state of the art methods.
Proceedings ArticleDOI
A Database for Person Re-Identification in Multi-Camera Surveillance Networks
TL;DR: A new challenging multi-camera surveillance database designed for the task of person re-identification is presented, consisting of 150 unscripted sequences of subjects travelling in a building environment though up to eight camera views, appearing from various angles and in varying illumination conditions.