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Multi-view gait recognition on curved
(2017-12-11)
Appearance changes due to viewing angle changes cause difficulties for most of the gait recognition methods. In this paper, we propose a new approach for multi-view recognition, which allows to recognize people walking on ...
Entropy Volumes for Viewpoint Independent Gait Recognition
(2017-02-17)
Gait as biometrics has been widely used for
human identi cation. However, direction changes cause
di culties for most of the gait recognition systems, due
to appearance changes. This study presents an e cient
multi-view ...
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 ...
A new approach for multi-view gait recognition on unconstrained paths
(2017)
Direction changes cause di culties for most of the gait recognition systems, due to appearance
changes. We propose a new approach for multi-view gait recognition, which
focuses on recognizing people walking on unconstrained ...
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 ...
A new thresholding approach for automatic generation of polygonal approximations
(Elsevier, 2016)
The present paper proposes a new algorithm for automatic generation of
polygonal approximations of 2D closed contours based on a new thresholding
method. The new proposal computes the signi cance level of the contour
points ...
Comparing Evolutionary Algorithms and Particle Filters for Markerless Human Motion Capture
(Elsevier, 2014)
Markerless Human Motion Capture is the problem of determining the joints’ angles of a three-dimensional articulated body model that best matches current and past observations acquired by video cameras. The problem of ...
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
(Elsevier, 2019)
This paper proposes new methods based on time series segmentation, including the adaptation of the particle swarm optimisation algorithm (PSO) to this problem, and more advanced PSO versions, such as barebones PSO (BBPSO) ...
A new approach for optimal time-series segmentation
(Elsevier, 2020)
This paper proposes a new optimal approach, called OSTS, to improve the segmentation of time series. The proposed method is based on A* algorithm and it uses an improved version of the well-known Salotti method for obtaining ...
Unsupervised generation of polygonal approximations based on the convex hull
(Elsevier, 2020)
The present paper proposes a new non-optimal but unsupervised algorithm, called ICT-RDP, for generation of polygonal approximations based on the convex hull. Firstly, the new algorithm takes into account the convex hull ...