3D Trajectory Reconstruction of a Moving Object from a Stereo Video using Particle Filter
| Author(s) | : | Dr. Rachna Verma |
| Institution | : | Department of Computer Science and Engineering, Faculty of Engineering, JNV University, Jodhpur, Rajasthan, India |
| Published In | : | Vol. 4, Issue 10 — October 2017 |
| Page No. | : | 535-542 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Moving object detection and tracking in videos is an actively researched area for the last two decades due toits practical applications in many areas, such as trajectory analysis of moving objects, making game playing robots,human computer interaction, etc. This paper presents an experimental study to reconstruct the 3D trajectory of acoloured moving object by combing particle filter and stereo vision. Although, the initial results obtained areencouraging, but the generated trajectory has waviness. Further research is required to reduce the waviness andgenerate more accurate trajectory.
Dr. Rachna Verma, “3D Trajectory Reconstruction of a Moving Object from a Stereo Video using Particle Filter”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 10, pp. 535-542, October 2017.
