NDLI: Multiview social behavior analysis in work environments

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2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)

2012 Sixth International Conference on Distributed Smart Cameras (ICDSC)

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras

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Collaborative acquisition of multi-view face images in real-time using a wireless camera network

Human attribute analysis using a top-view camera based on multi-stage classification

View-invariant 3D human body pose reconstruction using a monocular video camera

Real-time multi-view human action recognition using a wireless camera network

A socio-economic approach to online vision graph generation and handover in distributed smart camera networks

Optimizing load distribution in camera networks with a hypergraph model of coverage topology

Distributed three-dimensional camera alignment in highly-dynamical prioritized observation areas

Automatic reconfiguration of video sensor networks for optimal 3D coverage

Staging RANSAC: An indoor camera calibration method

Distributed data association in smart camera networks

Predictive duty cycle adaptation for wireless camera networks

Identification of intruders in groups of people using cameras and RFIDs

Multiview social behavior analysis in work environments

Tracking across multiple cameras with overlapping views based on brightness and tangent transfer functions

Rapid discriminative detection for smart camera applications

Multi-camera tracking by joint calibration, association and fusion

Target container: A target-centric parallel programming abstraction for video-based surveillance

Energy-efficient feedback tracking on embedded smart cameras by hardware-level optimization

Wi-FLIP: A wireless smart camera based on a focal-plane low-power image processor

End-user viewpoint control of live video from a medical camera array

Smart camera design for realtime high dynamic range imaging

A statistical approach to create side information in distributed video coding

Local image quality metric for a distributed smart camera network with overlapping FOVs

Efficient hash-driven Wyner-Ziv video coding for visual sensors

Enabling communication infrastructure and protocol on embedded distributed smart cameras

FPGA-based pedestrian detection using array of covariance features

Human detection using mobile embedded smart cameras

Summarisation of surveillance videos by key-frame selection

On-line control of active camera networks for computer vision tasks

Fusion of multiple trackers in video networks

Learning proactive control strategies for PTZ cameras

Building an occupancy model from sensor networks in office environments

Evaluation of similarity measures for appearance-based multi-camera matching

An accurate 3D feature tracking system with wide-baseline stereo smart cameras

Accelerating Viola-Jones face detection for embedded and SoC environments

Enhanced patrol course planning method for multiple mobile surveillance cameras

Probabilistic framework for person tracking on embedded distributed smart cameras

Distributed smart cameras for hard real-time obstacle detection in control applications

ENRA: Event-based network reconfiguration algorithm for Active Camera Networks

Fusion of non-visual modalities into the Probabilistic Occupancy Map framework for person localization

Synthetic and privacy-preserving visualization of video sensor network outputs

Human tracking by adaptive Kalman filtering and multiple kernels tracking with projected gradients

Demo: Spatio-temporal template matching for ball detection

Demo: Omnidirectional video navigation on a tablet PC using a camera-based orientation tracker

PhD forum: Volumetric 3D reconstruction without planar ground assumption

Demo: Real-time depth extraction and viewpoint interpolation on FPGA

Demo: Mouse sensor networks, the smart camera

Demo: A distributed virtual vision simulator

Demo: An embedded vision system for high frame rate visual servoing

PhD forum: Using participatory camera networks for object tracking

Demo: Real-time remote reporting of active regions with Wi-FLIP

PhD forum: Adaptive storage management in highly heterogeneous Smart Sensor systems

PhD forum: A cyber-physical system approach to embedded visual servoing

PhD forum: Multi-view occupancy maps using a network of low resolution visual sensors

Demo: Vision based smart in-car camera system for driver yawning detection

PhD forum: A data mining approach for human activity learning in a multi-modal sensor system

PhD forum: Investigating the performance of a multi-modal approach to unusual event detection

Demo: An automated face enrolment and recognition system across multiple cameras on CCTV networks

Demo: Real-time 3D visualization of multi-camera room occupancy monitoring for immersive communication systems

Demo: Real-time indoors people tracking in scalable camera networks

Demo: Distributed video coding applications in wireless multimedia sensor networks

Demonstration of a low power image processing system using a SCAMP3 vision chip

PhD forum: BiSeeMos: A fast embedded stereo smart camera

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)

2008 Second ACM/IEEE International Conference on Distributed Smart Cameras

2007 First ACM/IEEE International Conference on Distributed Smart Cameras

Multiview social behavior analysis in work environments

Content Provider	IEEE Xplore Digital Library
Author	Chih-Wei Chen Aghajan, H.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Stanford University, Stanford, California 94305 (Chih-Wei Chen; Aghajan, H.)
Abstract	In this paper, we propose an approach that fuses information from a network of visual sensors for the analysis of human social behavior. A discriminative interaction classifier is trained based on the relative head orientation and distance between a pair of people. Specifically, we explore human interaction detection at different levels of feature fusion and decision fusion. While feature fusion mitigates local errors and improves feature accuracy, decision fusion at higher levels significantly reduces the amount of information to be shared among cameras. Experiment results show that our proposed method achieves promising performance on a challenging dataset. By distributing the computation over multiple smart cameras, our approach is not only robust but also scalable.
Starting Page	1
Ending Page	6
File Size	909550
Page Count	6
File Format	PDF
ISBN	9781457717086
e-ISBN	9781457717079
e-ISBN	9781457717062
DOI	10.1109/ICDSC.2011.6042910
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Head Target tracking Estimation Humans Cameras Magnetic heads Skin
Content Type	Text
Resource Type	Article

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