Vehicle Surveillance from Video

Person and Vehicle Tracking in Surveillance Video

This evaluation for person and vehicle tracking in surveillance presented some new challenges. The dataset was large and very high-quality, but with difficult scene properties involving illumination changes, unusual lighting conditions, and complicated occlusion of objects. Since this is a well-researched scenario [1], our submission was based primarily on our existing projects for automated ob...

Vehicle Recognition for Surveillance Video Using Sparse Coding

Video Surveillance Middleware for Distributed Video Surveillance

protecting major facilities from terrorism and other threats. At the hardware level, standard IP networking devices and IP video cameras enable building thousand-camera networks at a reasonable cost. However, monitoring surveillance networks through human inspection is expensive and remarkably ineffective. Trained operators lose concentration and miss a high percentage of significant events aft...

Adaptive Object Segmentation from Surveillance Video Sequences

Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. We develop an efficient adaptive object segmentation algorithm for color video surveillance sequences; background is modeled using Multiple Correlation Coefficient (R_(a.bc)) using pixel-level based approach. Segmented foreground generally includes self shadows as foreground...

Face Recognition from Surveillance - Quality Video

by Deborah Thomas In this dissertation, we develop techniques for face recognition from surveillancequality video. We handle two specific problems that are characteristic of such video, namely uncontrolled face pose changes and poor illumination. We conduct a study that compares face recognition performance using two different types of probe data and acquiring data in two different conditions. ...