A novel algorithm is presented for the 3D reconstruction of human action in long (> 30 second) monocular image sequences.A sequence is represented by a small set of automatically found representative keyframes. The skeletal joint positions are manually located in each keyframe and mapped to all other frames in the sequence. For each keyframe a 3D key pose is created, and interpolation between t...

A video database can contain a large number of videos ranging from several minutes to several hours in length. Typically, it is not sufficient to search just for relevant videos, because the task still remains to find the relevant clip, typically less than one minute of length, within the video. This makes it important to direct the users attention to the most promising material and to indicate...

This paper presents a complete system for shot and scene detection in broadcast videos, as well as a method to select the best representative key-frames, which could be used in new interactive interfaces for accessing large collections of edited videos. The final goal is to enable an improved access to video footage and the re-use of video content with the direct management of user-selected vid...

Abstract This article concerns the problem of a dense mapping system for robot exploring new environment. In this scenario, equipped with an RGB-D camera uses RGB and range data to build consistent model Firstly, requires selection representation. Secondly, has deal localization drift which can be corrected when loop closure is detected. article, we both these problems, make several technical c...

The overarching goal of this work is to enable the collection language describing a wide variety objects viewed in virtual reality. We aim create full 3D models from small number ‘keyframe’ images found publicly available Grounded Language Dataset (GoLD) using photogrammetry. will then collect linguistic descriptions by placing our reality and having volunteers describe them. To evaluate impact...

There are many possible ways of identifying the posture of a human character from a set of known positions. These methods differ in subtle but important ways. We propose an alternative method to the jacobian-based Inverse Kinematics, one which allows for simple calibration, allows for sensors slippage, and can take advantage of knowledge of the type of motion being performed. This approach give...

In this paper, we represent human actions as short sequences of atomic body poses. The knowledge of body pose is stored only implicitly as a set of silhouettes seen from multiple viewpoints; no explicit 3D poses or body models are used, and individual body parts are not identified. Actions and their constituent atomic poses are extracted from a set of multiview multiperson video sequences by an...