Adaptive Workload Equalization in Multi-Camera Surveillance Systems


Surveillance and monitoring systems generally employ a large number of cameras to capture people's activities in the environment. These activities are analyzed by hosts (human operators and/or computers) for threat detection. Threat detection is a target centric task in which the behavior of each target is analyzed separately, which requires a significant amount of human attention and is a computationally intensive task for automatic analysis. In order to meet the real-time requirements of surveillance, it is necessary to distribute the video processing load over multiple hosts. In general, cameras are statically assigned to the hosts; we show that this is not a desirable solution as the workload for a particular camera may vary over time depending on the number of targets in its view. In the future, this uneven distribution of workload will become more critical as the sensing infrastructures are being deployed on the cloud. In this paper, we model the camera workload as a function of the number of targets, and use that to dynamically assign video feeds to the hosts. Experimental results show that the proposed model successfully captures the variability of the workload, and that the dynamic workload assignment provides better results than a static assignment.

Did you like this research project?

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

PROJECT TITLE :An Improved Adaptive P&O Technique for TwoStage Grid Interfaced SPVECSABSTRACT:This work presents an improved perturb and observe with adaptive perturbation size (IAP&O) algorithm for harnessing most power from
PROJECT TITLE :Capacity Maximizing Adaptive Power Splitting Protocol for Cooperative Energy Harvesting Communication Systems - 2018ABSTRACT:In this letter, we have a tendency to propose a unique power splitting (PS) protocol
PROJECT TITLE :Adaptive Contention Window Control Scheme in Wireless Ad Hoc Networks - 2018ABSTRACT:This competition mechanism of the IEEE 802.11 distributed coordination function (DCF) is understood to own some drawbacks, e.g.,
PROJECT TITLE :Adaptive Beamforming in an Impulsive Noise Environment Using Matrix Completion - 2018ABSTRACT:In this letter, a brand new approach is presented for sturdy adaptive beamforming in an impulsive noise environment.
PROJECT TITLE :Efficient System Tracking With Decomposable Graph-Structured Inputs and Application to Adaptive Equalization With Cyclostationary Inputs - 2018ABSTRACT:This Project introduces the graph-structured recursive least

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

Project Enquiry