This paper presents an arc-length preserving axial deformation along a B-spline curve based on arc-length parameterization of the axial curve. Space spanned by arc length and rotation minimizing frame on the axis is taken as the embedded space. As in real life, the length of an object’s skeleton usually remains constant when it is axially deformed such as a swimming fish, a swaying tree etc, An...

We propose a method which can perform real-time 3D reconstruction from a single hand-held event camera with no additional sensing, and works in unstructured scenes of which it has no prior knowledge. It is based on three decoupled probabilistic filters, each estimating 6-DoF camera motion, scene logarithmic (log) intensity gradient and scene inverse depth relative to a keyframe, and we build a ...

Estimation of camera motion and structure of rigid objects in the 3D world from multiple camera images by bundle adjustment is often performed by iterative minimization methods due to their low computational effort. These methods need a robust initialization in order to converge to the global minimum. In this paper a new criterion for keyframe selection is presented. While state of the art crit...

The analysis of badminton player actions from videos plays a crucial role in improving athletes’ performance and generating statistical insights. complexity speed movements pose unique challenges compared to everyday activities. To analyze actions, we propose skeleton-based keyframe detection framework for action analysis. Keyframe is widely used video summarization visual localization due its ...

Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new video abstraction method in H.264/AVC compressed domain, AVAIF. The method is based on the norm...

Various investigations have shown that driver fatigue is the main cause of traffic accidents. Research on use computer vision techniques to detect signs from facial actions, such as yawning, has demonstrated good potential. However, accurate and robust detection yawning difficult because complicated actions expressions drivers in real driving environment. Several same mouth deformation yawning....