Xi En Cheng

Jingdezhen Ceramic Institute, Fudan University

Papers

Total Citations

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About

Xi En Cheng is a researcher whose work sits at the intersection of computer vision, biomechanics, and multi-agent systems, with a particular focus on tracking the complex, deformable motion of animals in three dimensions. His major contributions lie in developing robust algorithms that overcome the challenges of tracking multiple, highly deformable targets—such as fish and flying insects—in naturalistic environments. His most cited paper, "Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking" (2018, 23 citations), provides a foundational method for studying collective behavior in aquatic animals. Building on this, his work on "Tracking undulatory body motion of multiple fish based on midline dynamics modeling" (2016, 8 citations) introduced a novel approach to accurately capture the rhythmic, wave-like body movements of fish, a key step for applications in bio-inspired robotics and computer graphics. Additionally, his research on "3D tracking targets via kinematic model weighted particle filter" (2016, 5 citations) extends these techniques to flying objects, addressing the challenge of large populations. Together, Cheng’s work has provided essential tools for biologists and engineers alike, enabling deeper insights into animal behavior and inspiring the design of more agile, nature-inspired robots.