Video Analytics for Audience Measurement
First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers
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18 Result(s)
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Chapter and Conference Paper
Cross-Camera View-Overlap Recognition
We propose a decentralised view-overlap recognition framework that operates across freely moving cameras without the need of a reference 3D map. Each camera independently extracts, aggregates into a hierarchic...
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Article
Open AccessBenchmark for anonymous video analytics
Out-of-home audience measurement aims to count and characterize the people exposed to advertising content in the physical world. While audience measurement solutions based on computer vision are of increasing ...
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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
Motion Prediction for First-Person Vision Multi-object Tracking
Tracking multiple independently moving objects with cameras mounted on moving robots is becoming increasingly common. However, most causal trackers rely on linear motion models that may be inaccurate in these ...
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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
An Online Platform for Underwater Image Quality Evaluation
With the miniaturisation of underwater cameras, the volume of available underwater images has been considerably increasing. However, underwater images are degraded by the absorption and scattering of light in ...
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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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Article
Predicting and recognizing human interactions in public spaces
We present an extensive survey of methods for recognizing human interactions and propose a method for predicting rendezvous areas in observable and unobservable regions using sparse motion information. Rendezv...
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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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Article
Open AccessMulticamera Information Processing: Acquisition, Collaboration, Interpretation, and Production
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Article
Open AccessVideo Tracking in Complex Scenes for Surveillance Applications
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Article
Open AccessMultiview Trajectory Map** Using Homography with Lens Distortion Correction
We present a trajectory map** algorithm for a distributed camera setting that is based on statistical homography estimation accounting for the distortion introduced by camera lenses. Unlike traditional appro...
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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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Article
Open AccessDetection and Tracking of Humans and Faces
We present a video analysis framework that integrates prior knowledge in object tracking to automatically detect humans and faces, and can be used to generate abstract representations of video (key-objects and...
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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...
