Video Analytics for Audience Measurement
First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers
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9 Result(s)
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Andrea Cavallaro
Computer Science
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
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Chapter and Conference Paper
Novel-View Human Action Synthesis
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...
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Chapter and Conference Paper
Description and Recognition of Activity Patterns Using Sparse Vector Fields
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...
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Chapter and Conference Paper
Online Multi-target Tracking with Strong and Weak Detections
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...
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Chapter and Conference Paper
Pop-up Modelling of Hazy Scenes
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...
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Chapter and Conference Paper
Probabilistic Subpixel Temporal Registration for Facial Expression Analysis
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...
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Book and Conference Proceedings
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Chapter and Conference Paper
Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset
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...
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Chapter and Conference Paper
Multi-feature Graph-Based Object Tracking
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...
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Chapter and Conference Paper
Event Detection in Underground Stations Using Multiple Heterogeneous Surveillance Cameras
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...
