Buscar
Mostrando ítems 1-8 de 8
The AVA Multi-View Dataset for Gait Recognition
(2018)
In this paper, we introduce a new multi-view dataset for
gait recognition. The dataset was recorded in an indoor scenario, using
six convergent cameras setup to produce multi-view videos, where each
video depicts a ...
Stereo Pictorial Structure for 2D Articulated Human Pose Estimation
(2015)
In this paper, we consider the problem of 2D human
pose estimation on stereo image pairs. In particular,
we aim at estimating the location, orientation and scale of
upper-body parts of people detected in stereo image ...
Keypoint descriptor fusion with Dempster-Shafer Theory
(2017)
Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint
descriptors have been proposed in the literature aiming at providing robustness against scale, translation and ...
Fisher Motion Descriptor for Multiview Gait Recognition
(2017)
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes
as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based
on ...
Automatic learning of gait signatures for people identification
(2017-12-05)
This work targets people identification in video based
on the way they walk (i.e. gait). While classical methods
typically derive gait signatures from sequences of binary
silhouettes, in this work we explore the use of ...
Detecting People Looking at Each Other in Videos
(Springer Nature, 2013)
The objective of this work is to determine if people are interacting in TV video by detecting whether they are looking at each other or not. We determine both the temporal period of the interaction and also spatially ...
Mixing body-parts model for 2D human pose estimation in stereo videos
(Institution of Engineering and Technology, 2017)
This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth-based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very ...
Human interaction categorization by using audio-visual cues
(Springer Nature, 2013)
Human Interaction Recognition (HIR) in uncontrolled TV video material is a very challenging problem because of the huge intra-class variability of the classes (due to large differences in the way actions are performed, ...