Video Analytics for Audience Measurement
First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers
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8 Result(s)
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Andrea Cavallaro
Computer Science
Artificial Intelligence
Computer Graphics
Image Processing and Computer Vision
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Chapter and Conference Paper
Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting Loss
View synthesis aims at generating a novel, unseen view of an object. This is a challenging task in the presence of occlusions and asymmetries. In this paper, we present View-Disentangled Generator (VDG), a two...
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Chapter and Conference Paper
Residual Stacked RNNs for Action Recognition
Action recognition pipelines that use Recurrent Neural Networks (RNN) are currently 5–10% less accurate than Convolutional Neural Networks (CNN). While most works that use RNNs employ a 2D CNN on each frame to...
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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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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...
