Simultaneous Object Detection, Tracking, and Event Recognition

TL;DR

This paper proposes an integrated framework for object detection, tracking, and event recognition that allows mutual influence among components, improving overall performance with linear asymptotic complexity.

Contribution

It introduces a unified approach enabling simultaneous detection, tracking, and event recognition with multidirectional information flow, surpassing isolated component performance.

Findings

Integrated system improves detection and recognition accuracy

Mutual influence enhances tracking robustness

Achieves linear asymptotic complexity

Abstract

The common internal structure and algorithmic organization of object detection, detection-based tracking, and event recognition facilitates a general approach to integrating these three components. This supports multidirectional information flow between these components allowing object detection to influence tracking and event recognition and event recognition to influence tracking and object detection. The performance of the combination can exceed the performance of the components in isolation. This can be done with linear asymptotic complexity.