16:50 - 18:30 |
PhD Forum (Spot Presentations by PhD Students and Q/A by Panel) |
Self-organisation in distributed vision networks
Martin Hoffmann
PTZ cameras which auto-adjust to maximize the scene coverage
Towards smart camera networks of mobile internet devices
Michael Wittke
A software architecture for using mobile Internet devices as smart cameras
A belief-desire-intention multi-agent visual sensor networks
Federico Castanedo
Use of software agents for efficient, flexible and adaptable visual sensor networks
Feature selection for activity recognition from video via multiobjective optimization
Rodrigo Cilla Ugarte
A method for automatically select the best set of features for activity recognition
Camera selection in distributed vision networks for shape approximation
Marleen Morbee
A method to select the best camera views for human shape approximation in a network of cameras
Multi-person tracking from sparse 3D trajectories in a camera sensor network
Kyle Heath
Network of stereo cameras for tracking on consistent 3D trajectories
Real-time 3D model reconstruction from uncalibrated cameras in a video network
Hoang Nguyen
3D face reconstruction from a multi-camera system
Vision-Based Human Intent and Cognitive State Estimation
Anup Doshi
Multi-modal sensor fusion for Driver Assistance Systems
Generalized behavior understanding from trajectory analysis
Brendan T. Morris
A framework for behavior analysis from trajectory analysis
Scene analysis in a large camera network
Bi Song
A complete system for multi-camera surveillance with tracking, camera control, and distributed video coding
Human-centred environment discovery in camera sensor networks
Chen Wu
A system for extracting and analyzing contextual information from a human-centred perspective
Opportunistic behavior understanding from multiple cameras
Itai Katz
A technical framework for identifying human behaviors from multiple embedded camera nodes
Activity analysis with duration modelling
Murtaza Taj
Multi-camera scene analysis using an object-centric Continuous Distribution Hidden Markov Model (CDHMM)
Toward Scalable Information Processing in Visual Sensor Networks
Erhan Ermis
Abnormal Behavior Detection and Behavior Matching for Networked Cameras