# Simultaneous Object Detection, Tracking, and Event Recognition

Source: [Simultaneous Object Detection, Tracking, and Event Recognition](<https://www.sota2.com/research/paper/68fa60f21e209131ce9f1db5>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T19:49:34.015Z

Authors: Andrei Barbu, Aaron Michaux, Siddharth Narayanaswamy, Jeffrey Mark Siskind

Published: 2012-04-12T14:47:41.000Z

## 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1204.2741>)

[PDF](<https://arxiv.org/pdf/1204.2741.pdf>)