Bong-Cheol Seo

Papers

Total Citations

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About

Bong-Cheol Seo is a researcher specializing in mobile robotics, computer vision, and target-tracking systems for surveillance applications. His work focuses on developing and verifying algorithms that enable mobile surveillance robots to autonomously detect and follow targets using camera-based image processing. In his most cited paper, "Verification of Camera-Image-Based Target-Tracking Algorithm for Mobile Surveillance Robot Using Virtual Simulation" (2012, 4 citations), Seo proposed a design integrating a three-axis imaging device into a conventional two-axis surveillance robot. He introduced a target-tracking algorithm that calculates positional error between the camera image center and the target center to derive a target-oriented vector, using inverse kinematics to determine required pan, tilt, and roll angles for stabilization. His subsequent work, "Target-Tracking System for Mobile Surveillance Robot Using CAMShift Image Processing Technique" (2014, 3 citations), advanced this approach by applying the Continuously Adaptive Mean Shift (CAMShift) algorithm for more robust target detection. Although his citation counts are modest, Seo’s contributions are notable for their practical focus on simulation-based verification and real-time image processing, offering foundational insights for researchers developing autonomous surveillance systems. His work bridges robotics kinematics and computer vision, providing a systematic method for enhancing robotic situational awareness in security contexts.