A Novel Approach for Robust Surveillance Video Content Abstraction
نویسندگان
چکیده
Efficient video content analysis is an unsolved problem, especially for real-life surveillance videos due to their low resolution and illustration variations. A novel framework to efficiently and robustly convert a surveillance video clip into one abstraction image containing the integrated contour of interested objects is proposed. It has the following novelties: 1) an improved w-SIFT algorithm for Y-axis frames offset calculation, 2) a trapezoid-based compensation algorithm for X-axis perspective distortion correction, and 3) an incremental video content integration approach. Experimental results show that our method is robust for real-life low resolution videos and efficient for real-time analysis.
منابع مشابه
Activity Based Video Content Trajectory Representation and Segmentation
A novel approach is developed to segment continuous CCTV recordings according to the activities captured in the scene. This approach differs from previous approaches which are mostly based on shot change detection and shot grouping. Video content is represented by constructing a cumulative multi-event histogram over time. An on-line segmentation algorithm is then proposed to detect breakpoints ...
متن کاملVideo Abstraction in H.264/AVC Compressed Domain
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...
متن کاملContent-Based Retrieval of Video Surveillance Scenes
A novel method for content-based retrieval of surveillance video data is presented. The study starts from the realistic assumption that the automatic feature extraction is kept simple, i.e. only segmentation and low-cost filtering operations have been applied. The solution is based on a new and generic dissimilarity measure for discriminating video surveillance scenes. This weighted compound me...
متن کاملVideo scenes clustering based on representative shots
Clustering of video data is an important issue in video abstraction, browsing and retrieval. Movie is a kind of complex video with rich content. As for the movie, however, clustering is more complicated than other types of videos like surveillance, sport games, and documentaries. In this paper, we propose a novel shot clustering algorithm combing the editing feature of the movie and the criteri...
متن کاملoverview of ways to enhance the security of video surveillance networks using blockchain
In recent decades, video surveillance systems have an increasing development that are used to prevent crime and manage facilities with rapid diffusion of (CCTV)cameras to prevent crime and manage facilities. The video stored in the video surveillance system should be managed comfortably, but sometimes the movies are leaking out to unauthorized people or by unauthorized people, thus violating i...
متن کامل