CNWASA11
* *Workshop on Camera Networks and Wide-Area Scene Analysis
* Late fusion for person detection in camera networks
* Learning multi-view correspondences from temporal coincidences
* Leveraging social network information to recognize people
* Multimodal complex event detection framework for wide area surveillance
* Person re-identification in multi-camera networks
* Prioritized data transmission in airborne camera networks for wide area surveillance and image mosaicking
* Real-time airport security checkpoint surveillance using a camera network
* real-time system for 3D recovery of dynamic scene with multiple RGBD imagers, A
* reasoning engine for intruders' localization in wide open areas using a network of cameras and RFIDs, A
* Robust camera calibration tool for video surveillance camera in urban environment
11 for CNWASA11
CNWASA12
* *Workshop on Camera Networks and Wide-Area Scene Analysis
* 2D and 3D visualization with dual-resolution for surveillance
* Detecting and tracking all moving objects in wide-area aerial video
* Manifold-based fingerprinting for target identification
* Object browsing and searching in a camera network using graph models
* Pixel-wise motion detection in persistent aerial video surveillance
* Re-identify people in wide area camera network
* Resource-aware configuration in smart camera networks
* Tracking many vehicles in wide area aerial surveillance
* Using scene features to improve wide-area video surveillance
10 for CNWASA12
CNWASA13
* *Workshop on Camera Networks and Wide-Area Scene Analysis
* Exploring Structural Information and Fusing Multiple Features for Person Re-identification
* Grouping Crowd-Sourced Mobile Videos for Cross-Camera Tracking
* Target Trajectory Prediction in PTZ Camera Networks
* Temporal Scheme for Fast Learning of Image-Patch Correspondences in Realistic Multi-camera Setups, A
* Tracking in Wide Area Motion Imagery Using Phase Vector Fields
* Tracking People across Multiple Non-overlapping RGB-D Sensors
7 for CNWASA13