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A trajectory and orientation reconstruction method for moving objects based on a moving monocular camera.

Jian Zhou1, Yang Shang2, Xiaohu Zhang3

  • 1Shanghai Key Laboratory of Navigation and Location Based Services, Shanghai Jiao Tong University, Shanghai 200240, China. zhou_jian_1980@foxmail.com.

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|March 12, 2015
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Summary
This summary is machine-generated.

This study introduces a novel monocular trajectory intersection method for 3D reconstruction of moving objects. This approach enables accurate trajectory and orientation estimation, even with limited features, overcoming limitations of traditional point intersection methods.

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Area of Science:

  • Computer Vision
  • Robotics
  • 3D Reconstruction

Background:

  • Monocular cameras traditionally struggle with 3D reconstruction of moving objects.
  • Existing methods like Perspective-n-Point (PnP) often require multiple features or specific conditions.

Purpose of the Study:

  • To develop a robust method for 3D trajectory reconstruction and orientation estimation of moving objects using a single moving camera.
  • To establish the conditions for a unique solution in monocular moving camera scenarios.

Main Methods:

  • A novel monocular trajectory intersection method is proposed.
  • The method utilizes linear equations, avoiding initial values or iterative processes.
  • Conditions for a unique solution are derived from the order of trajectory equations.

Main Results:

  • The method successfully reconstructs 3D trajectories and estimates object orientation, even with poor feature conditions.
  • It advances videometrics from 'point intersection' to 'trajectory intersection'.
  • The method demonstrates applicability to various trajectories, including linear, conic, and complex paths.

Conclusions:

  • The monocular trajectory intersection method offers a breakthrough for 3D reconstruction and orientation estimation.
  • It provides a widely applicable and efficient solution for dynamic scenes captured by monocular cameras.