A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems
نویسندگان
چکیده
In this paper, a belief based correlated topic model (BCTM) is proposed for the semantic region analysis of pedestrian motion patterns in the crowded scenes. The inputs of the BCTM can be holistic trajectories or fragments of trajectories. By integrating the sources, sinks, and a forest of randomly spanning trees of trajectories as priors, the proposed BCTM improves the learning of semantic regions, significantly. In addition, the model can also cluster topics through modeling relations among topics. Experiments on a large scale data set, which are collected from the crowded New York Grand Central Station, show that the BCTM outperforms the state-of-the-art methods on qualitative results of learning semantic regions.
منابع مشابه
Traffic Scene Analysis using Hierarchical Sparse Topical Coding
Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. In this pa...
متن کاملModeling Collective Crowd Behaviors in Video
Crowd behavior analysis is an interdisciplinary topic. Understanding the collective crowd behaviors is one of the fundamental problems both in social science and natural science. Research of crowd behavior analysis can lead to a lot of critical applications, such as intelligent video surveillance, crowd abnormal detection, and public facility optimization. In this thesis, we study the crowd beh...
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 کاملبازشناسی انسان در سیستمهای نظارت ویدئویی
People re-identification is one of the most important and fundamental processes in video surveillance systems. The accuracy and efficiency of this task influence the effectiveness of the subsequent processes. Event detection and behavior analysis are instances of such subsequent processes that are classified in semantic levels. In people re-identification, having an image or video of an individ...
متن کاملA Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
متن کامل