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Non-learning-Based Motion Cognitive Detection and Self-adaptable Tracking for Night-Vision Videos

  • Lianfa BaiEmail author
  • Jing Han
  • Jiang Yue
Chapter

Abstract

Motion detection and tracking technology is one of the core subjects in the field of computer vision. It is significant and has wide practical value in night-vision research. Traditional learning-based detection and tracking algorithms require many samples and a complex model, which is difficult to implement. The robustness of detection and tracking in complex scenes is weak. This chapter introduces a series of infrared small-target detection, non-learning motion detection and tracking methods based on imaging spatial structure, which are robust to complex scenes.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjingChina
  2. 2.School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjingChina
  3. 3.National Key Laboratory of Transient PhysicsNanjing University of Science and TechnologyNanjingChina

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