The motion boundary approach captures more information between moving objects which might be caused by camera movements. We compare the performance of the ...
The performance of the proposed motion boundary trajectory approach is compared with other state-of-the-art approaches, e.g., trajectory based approach, ...
The motion boundary approach captures more information between moving objects which might be caused by camera movements. We compare the performance of the ...
This paper introduces an improvement of trajectory-based human action recognition approaches to capture discriminative temporal relationships.
Firstly, motion boundary detector which suppresses the camera constant motion is utilized to extract motion features. After processing the detected boundaries ...
In this paper, we propose Localized Trajectories as an improved version of Dense Trajectories where motion trajectories are clustered around human body joints ...
MBH descriptors are based on motion boundaries. These descriptors are com- puted by separate derivatives for the horizontal and vertical components of the ...
Mar 21, 2013 · To reduce the influence of camera motion on action recognition, we in- troduce a descriptor based on motion boundaries, initially developed in ...
We introduce a novel descriptor based on motion boundary histograms, which is robust to camera motion. This descriptor consistently outperforms other state-of- ...
Missing: Human | Show results with:Human
Feb 1, 2018 · This paper aims to obtain effective and compact action representation with length-variable edge trajectory (LV-ET) and spatio-temporal motion ...