Video Analytics for Audience Measurement
First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers
Chapter and Conference Paper
Novel-View Human Action Synthesis aims to synthesize the movement of a body from a virtual viewpoint, given a video from a real viewpoint. We present a novel 3D reasoning to synthesize the target viewpoint. We...
Chapter and Conference Paper
Far-field activities represented as time series or trajectories can be summarized in compact representations of frequent patterns. Popular representations such as clustering or probabilistic modeling of trajec...
Chapter and Conference Paper
We propose an online multi-target tracker that exploits both high- and low-confidence target detections in a Probability Hypothesis Density Particle Filter framework. High-confidence (strong) detections are us...
Chapter and Conference Paper
This paper describes the construction of a layered scene-model, based on a single hazy image of an outdoor scene. A depth map and radiance image are estimated by standard dehazing methods. The radiance image i...
Chapter and Conference Paper
Face images in a video sequence should be registered accurately before any analysis, otherwise registration errors may be interpreted as facial activity. Subpixel accuracy is crucial for the analysis of subtle...
Book and Conference Proceedings
First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers
Chapter and Conference Paper
Video object detection and tracking in surveillance scenarios is a difficult task due to several challenges caused by environmental variations, scene dynamics and noise introduced by the CCTV camera itself. In...
Chapter and Conference Paper
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in real-world surveillance scenarios. The algorithm is based on color change detection...
Chapter and Conference Paper
An automatic event detection system is presented that addresses the problem of safety in underground and train stations. The proposed system is based on video analysis from multiple heterogeneous cameras, incl...