Line-Circle: A Geometric Filter for Single Camera Edge-Based Object Detection
Seyed Amir Tafrishi, Vahid E. Kandjani

TL;DR
This paper introduces the Line-Circle filter, a geometric method for real-time, edge-based object detection using a single camera, enhancing SLAM applications without extensive databases or high computational costs.
Contribution
The proposed Line-Circle filter uniquely combines detection, tracking, and learning in a geometric framework to improve scene understanding in real-time without large databases.
Findings
Effective in crowded scenes without mapping
Reduces overconfidence and computation in SLAM
Works with minimal sensor data
Abstract
This paper presents a state-of-the-art approach in object detection for being applied in future SLAM problems. Although, many SLAM methods are proposed to create suitable autonomy for mobile robots namely ground vehicles, they still face overconfidence and large computations during entrance to immense spaces with many landmarks. In particular, they suffer from impractical applications via sole reliance on the limited sensors like camera. Proposed method claims that unmanned ground vehicles without having huge amount of database for object definition and highly advance prediction parameters can deal with incoming objects during straight motion of camera in real-time. Line-Circle (LC) filter tries to apply detection, tracking and learning to each defined experts to obtain more information for judging scene without over-calculation. In this filter, circle expert let us summarize edges in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
