Add to ORKGIn order to summarize a video consisting of a sequence of different activities, there are three fundamental problems: tracking the objects of interest, detecting the activity change times and recognizing the new activity. This paper presents an algorithm for achieving all these three tasks simultaneously and presents results on how it can used for indexing and summarizing a real-life video sequence. Human activities are represented by a model for the dynamics of the shape of the human body contour. Measures are designed for detecting both gradual transitions and sudden changes between activity models. 1
In this dissertation, video-indexing techniques using low-level motion activity characteristics and ...
This paper presents a novel approach for tracking multiple objects and a statistical learning approa...
Abstract The automated analysis of activity in digital multimedia, and especially video, is gaining ...
The widespread use of digital multimedia in applications, such as security, surveillance, and the se...
We propose a solution for detecting and summarizing hu-man activities from a large amount of video. ...
Motion analysis is an important component of surveillance,video annotation and many other applicatio...
Multimedia technology is growing day by day and contributing towards enormous amount of video data e...
2013-07-24With cameras getting smaller, better and cheaper, the amount of videos produced these days...
The goal of human action recognition on videos is to determine in an automatic way what is happening...
This paper presents a new multi-step, skeleton-based approach for the temporal segmentation of human...
In this paper, we present a novel approach of human activity prediction. Human activity prediction i...
Surveillance videos are recorded continually and the retrieval of such videos currently still relies...
Face recognition and video summarization represent chal- lenging tasks for several computer vision a...
The abrupt expansion of the Internet use over the last decade led to an uncontrollable amount of med...
We study the question of activity classification in videos and present a novel approach for recogniz...
In this dissertation, video-indexing techniques using low-level motion activity characteristics and ...
This paper presents a novel approach for tracking multiple objects and a statistical learning approa...
Abstract The automated analysis of activity in digital multimedia, and especially video, is gaining ...
The widespread use of digital multimedia in applications, such as security, surveillance, and the se...
We propose a solution for detecting and summarizing hu-man activities from a large amount of video. ...
Motion analysis is an important component of surveillance,video annotation and many other applicatio...
Multimedia technology is growing day by day and contributing towards enormous amount of video data e...
2013-07-24With cameras getting smaller, better and cheaper, the amount of videos produced these days...
The goal of human action recognition on videos is to determine in an automatic way what is happening...
This paper presents a new multi-step, skeleton-based approach for the temporal segmentation of human...
In this paper, we present a novel approach of human activity prediction. Human activity prediction i...
Surveillance videos are recorded continually and the retrieval of such videos currently still relies...
Face recognition and video summarization represent chal- lenging tasks for several computer vision a...
The abrupt expansion of the Internet use over the last decade led to an uncontrollable amount of med...
We study the question of activity classification in videos and present a novel approach for recogniz...
In this dissertation, video-indexing techniques using low-level motion activity characteristics and ...
This paper presents a novel approach for tracking multiple objects and a statistical learning approa...
Abstract The automated analysis of activity in digital multimedia, and especially video, is gaining ...