Efficient Tracking of a Moving Object using Inter-Frame Coding
This tackles data management issues for surveillance operators and systems, but appears incremental as it builds on existing coding techniques.
The paper addresses the problem of data overload in video surveillance systems due to increasing numbers of cameras, which makes monitoring infeasible over long periods, by proposing an efficient tracking method using inter-frame coding to reduce storage and processing demands.
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.