# Visual Concept Detection and Real Time Object Detection

Source: [Visual Concept Detection and Real Time Object Detection](<https://www.sota2.com/research/paper/68fa603f1e209131ce9ee666>)

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

Data updated: 2025-10-25T19:35:40.298Z

Authors: Ran Tao

Published: 2011-04-04T14:18:51.000Z

## Abstract

Bag-of-words model is implemented and tried on 10-class visual concept detection problem. The experimental results show that "DURF+ERT+SVM" outperforms "SIFT+ERT+SVM" both in detection performance and computation efficiency. Besides, combining DURF and SIFT results in even better detection performance. Real-time object detection using SIFT and RANSAC is also tried on simple objects, e.g. drink can, and good result is achieved.

## 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/1104.0582>)

[PDF](<https://arxiv.org/pdf/1104.0582.pdf>)