Path Modeling and Retrieval in Distributed Video Surveillance Databases


We propose a framework for querying a distributed database of video surveillance data in order to retrieve a set of likely paths of a person moving in the area under surveillance. In our framework, each camera of the surveillance system locally processes the data and stores video sequences in a storage unit and the metadata for each detected person in the distributed database. A pedestrian's path is formulated as a dynamic Bayesian network (DBN) to model the dependencies between subsequent observations of the person as he makes his way through the camera network. We propose a tool by which the analyst can pose queries about where a certain person appeared while moving in the site during a specified temporal window. The DBN is used in an algorithm that finds potentially relevant metadata records from the distributed databases and then assembles these into probable paths that the person took in the camera network. Finally, the system presents the analyst with the retrieved set of likely paths in ranked order. The computational complexity for our method is quadratic in the number of camera nodes and linear in the number of moving persons. Experiments were carried out on simulated data to test the system with large distributed databases and in a real setting in which six databases store the data from six video cameras. The simulations confirm that our method provides good results with varying numbers of cameras and persons moving in the network. In a real setting, the method reconstructs paths across the camera network with approximatively 75% accuracy at rank 1.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route ABSTRACT: Blind stereoscopic image quality assessment (SIQA) methods currently in use
PROJECT TITLE :Path Finding for Maximum Value of Information in Multi-Modal Underwater Wireless Sensor Networks - 2018ABSTRACT:We contemplate underwater multi-modal wireless sensor networks (UWSNs) appropriate for applications
PROJECT TITLE :Low Complexity and Critical Path based VLSI Architecture for LMS Adaptive Filter using Distributed Arithmetic - 2017ABSTRACT:This paper presents a new architecture for distributed arithmetic (DA) based Least Mean
PROJECT TITLE :Preventing Distributed Denial-of-Service Flooding Attacks with Dynamic Path Identifiers - 2017ABSTRACT:In recent years, there are increasing interests in using path identifiers (PIDs) as inter-domain routing objects.
PROJECT TITLE: Critical Path Analysis and Low Complexity Implementation of the LMS Adaptive Algorithm - 2014 ABSTRACT: This project presents a precise analysis of the critical path of the least-mean-square (LMS) adaptive filter

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry