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Three hypothesis algorithm with occlusion reasoning for multiple people tracking
(IS&T and SPIE, 2015)
This work proposes a detection-based tracking algorithm able to locate and keep the identity of multiple
people, who may be occluded, in uncontrolled stationary environments. Our algorithm builds a tracking graph
that ...
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 ...
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 ...
sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints
(MDPI, 2023)
Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving ...
Parallelization Strategies for Markerless Human Motion Capture
(2015-10-15)
Markerless Motion Capture (MMOCAP) is the
problem of determining the pose of a person from images
captured by one or several cameras simultaneously without
using markers on the subject. Evaluation of the solutions
is ...
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 ...
Fiducial objects: custom design and evaluation
(MDPI, 2023)
Camera pose estimation is vital in fields like robotics, medical imaging, and augmented reality. Fiducial markers, specifically ArUco and Apriltag, are preferred for their efficiency. However, their accuracy and viewing ...
UCO physical rehabilitation: new dataset and study of human pose estimation methods on physical rehabilitation exercises
(MDPI, 2023)
Physical rehabilitation plays a crucial role in restoring motor function following injuries or surgeries. However, the challenge of overcrowded waiting lists often hampers doctors’ ability to monitor patients’ recovery ...