This paper presents a particle swarm tracking algorithm with improved inertia weight based on color features. The weighted color histogram is used as the target feature to reduce the contribution of target edge pixels in the target feature, which makes the algorithm insensitive to the target non-rigid deformation, scale variation, and rotation. Meanwhile, the influence of partial obstruction on the description of target features is reduced. The particle swarm optimization algorithm can complete the multi-peak search, which can cope well with the object occlusion tracking problem. This means that the target is located precisely where the similarity function appears multi-peak. When the particle swarm optimization algorithm is applied to the object tracking, the inertia weight adjustment mechanism has some limitations. This paper presents an improved method. The concept of particle maturity is introduced to improve the inertia weight adjustment mechanism, which could adjust the inertia weight in time according to the different states of each particle in each generation. Experimental results show that our algorithm achieves state-of-the-art performance in a wide range of scenarios.

EditorialIntegrated photonics means integrating multiple photonic functions on a single Photonic Integrated Chip (PIC). Empowered by various nanofabrication techniques on diverse innovative material platforms, remarkable advances have been made in integrated photonics in the last decade. Light: Advanced Manufacturing (LAM) is a new, highly selective, open-access, and free of charge international sister journal of the Nature Journal Light: Science & Applications (Light). LAM aims to publish original innovative research papers and timely, state-of-the-art reviews in all modern areas of preferred light-based manufacturing, including fundamental and applied research as well as industrial innovations. LAM is organizing a special issue on integrated photonics, in order to capture the most exciting cutting edge advances in integrated photonics, including new material platforms, new fabrication and characterization technologies, new device architectures, new design principle of miniaturized components, nanophotonic devices, and their potential applications. We are very honored to feature Prof. Baohua Jia, the lead guest editor of this special issue, as this issue’s Light People. She is the Director of Center for Atomaterial Sciences and Technologies at Royal Melbourne Institute of Technology (RMIT) University and a top-level Future Fellow funded by the Australian Research Council. Her research focuses on fundamental light and nanomaterial interaction. In particular, her work on laser manipulation of two-dimensional materials has led to the design and fabrication of functional nanostructures and nanomaterials for effective harnessing and storage of clean energy from sunlight, purifying water and air for clean environment and imaging and spectroscopy and nanofabrication using ultrafast laser towards fast-speed all-optical communications and intelligent manufacturing. She is an elected Fellow of Optica (formally known as OSA) and an elected Fellow of the Institute of Materials, Minerals, and Mining. She serves on the College of Expert for the Australian Research Council since 2019. Now please follow Light scientific editor to enter Prof. Jia’s academic world.