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
We present a multi-subject first-person vision dataset of office activities. The dataset contains the highest number of subjects and activities compared to existing office activity datasets. Office activities ...
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
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...
Chapter and Conference Paper
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...
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
In this chapter we cover research and development issues related to smart cameras. We discuss challenges, new technologies and algorithms, applications and the evaluation of today’s technologies. We will cover...
Book
Chapter
Tracking targets using multiple cameras is an important processing step for applications such as sports analysis, traffic monitoring, behavior detection and event recognition. The multi-camera tracking problem...
Chapter
Multi-viewtrackers combine data fromdifferent camera views to estimate the temporal evolution of objects across a monitored area. Data to be combined can be represented by object features (such as position, co...
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...