Robust Motion Detection in Real-Life Scenarios

1. Front Matter

   Pages i-xii

   PDF

2. Introduction

   • Ester Martínez-Martín, Ángel P. del Pobil

   Pages 1-3

3. Motion Detection in Static Backgrounds

   • Ester Martínez-Martín, Ángel P. del Pobil

   Pages 5-42

4. Motion Detection in General Backgrounds

   • Ester Martínez-Martín, Ángel P. del Pobil

   Pages 43-84

5. Applications

   • Ester Martínez-Martín, Ángel P. del Pobil

   Pages 85-98

6. Computer Vision Concepts

   • Ester Martínez-Martín, Ángel P. del Pobil

   Pages 99-108

This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.

• Applications
• Background Maintenance
• Image Processing
• Motion Detection
• Segmentation

• Dept. Computer Science and Engineering, Jaume I University, Castellón de la Plana, Spain

  Ester Martínez-Martín

• Dept. ICC, Jaume I University, Castellon, Spain

  Ángel P. del Pobil

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