Efficient Tracking of a Moving Object using Inter-Frame Coding

TL;DR

This paper introduces an efficient inter-frame coding method to improve the tracking of moving objects in video surveillance, addressing challenges of data overload and long-term monitoring.

Contribution

It proposes a novel inter-frame coding technique that enhances object tracking efficiency in surveillance videos, reducing data volume and processing load.

Findings

Significant reduction in data storage requirements.

Improved accuracy in tracking moving objects.

Enhanced real-time processing capabilities.

Abstract

Video surveillance has long been in use to monitor security sensitive areas such as banks, department stores, highways, crowded public places and borders.The advance in computing power, availability of large-capacity storage devices and high speed network infrastructure paved the way for cheaper, multi-sensor video surveillance systems.Traditionally, the video outputs are processed online by human operators and are usually saved to tapes for later use only after a forensic event.The increase in the number of cameras in ordinary surveillance systems overloaded both the human operators and the storage devices with high volumes of data and made it in-feasible to ensure proper monitoring of sensitive areas for long times.