Near real-time human silhouette and movement detection in indoor environments using fixed cameras
Ημερομηνία
2012Λέξη-κλειδί
Επιτομή
The automated human behavior modeling is highly desired in the context of an assistive environment. In this paper, we describe a software video processing and analysis system to assist the near real time detection of human activity. The video data are acquired indoors from fixed cameras in the living environment. The proposed system uses image-processing techniques to segment the human figure from the background, suppress the appearance of its shadow and detect the path and velocity of its motion. Detail performance measurements of the proposed algorithm are given in terms of execution time. Initial results are presented for a small number of video sequences.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Fisheye camera modeling for human segmentation refinement in indoor videos
Delibasis, K. K.; Goudas, T.; Plagianakos, V. P.; Maglogiannis, I. (2013)In this paper, we concentrate on refining the results of segmenting human presence from indoors videos acquired by a fisheye camera, using a 3D mathematical model of the camera. The model has been calibrated according to ... -
Joint Object Affordance Reasoning and Segmentation in RGB-D Videos
Thermos S., Potamianos G., Daras P. (2021)Understanding human-object interaction is a fundamental challenge in computer vision and robotics. Crucial to it is the ability to infer 'object affordances' from visual data, namely the types of interaction supported by ... -
Fish-eye camera video processing and trajectory estimation using 3d human models
Kottari, K.; Delibasis, K.; Plagianakos, V.; Maglogiannis, I. (2014)Video processing and analysis applications are part of Artificial Intelligence. Frequently, silhouettes in video frames lack depth information, especially in case of a single camera. In this work, we utilize a three-dimensional ...