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Related Experiment Video

Updated: Jun 15, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

LSD: a fast line segment detector with a false detection control.

Rafael Grompone von Gioi¹, Jérémie Jakubowicz, Jean-Michel Morel

¹CMLA, ENS Cachan, CNRS, UniverSud, 61 Avenue du President Wilson, F-94230 Cachan, France. grompone@cmla.ens-cachan.fr

IEEE Transactions on Pattern Analysis and Machine Intelligence

|March 13, 2010

Summary

This summary is machine-generated.

This study introduces a fast, accurate line segment detector that requires no parameter tuning and controls false detections. Tested on natural images, it rivals state-of-the-art methods.

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Last Updated: Jun 15, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

Computer Vision
Image Processing
Computational Geometry

Background:

Line segment detection is crucial for image analysis.
Existing methods often require parameter tuning and can produce numerous false detections.

Purpose of the Study:

To propose a novel linear-time line segment detector.
To achieve accurate results with controlled false detections.
To eliminate the need for parameter tuning.

Main Methods:

A new algorithm for line segment detection is presented.
The algorithm operates in linear time complexity.
No parameter tuning is required for the detector.

Main Results:

The proposed detector achieves high accuracy in identifying line segments.
The number of false detections is effectively controlled.
Performance is validated against state-of-the-art algorithms on diverse natural images.

Conclusions:

The developed line segment detector offers an efficient and robust solution.
It provides accurate line detection with minimal false positives.
The algorithm's parameter-free nature simplifies its application in computer vision tasks.