Image Processing, Target Tracking and Recognition System Design

Dear Colleagues,

Image processing, target tracking and recognition systems, as core components of modern intelligent technologies, play a crucial role in numerous critical fields such as urban security (e.g., intelligent surveillance and anti-drone systems), autonomous driving (e.g., environmental perception and obstacle recognition) and industrial inspection (e.g., product defect detection and automated quality inspection). These systems have a wide range of input sources, including data from various types of image acquisition devices such as visible light cameras, infrared thermal imagers and multispectral sensors. For images of complex scenes (which may pose challenges such as lighting changes, occlusions and background interference), these systems go through a series of image data processing procedures—including image preprocessing (such as image enhancement, denoising and correction to improve the data quality), feature extraction (extracting key visual information about the target, such as its shape, texture, color or depth features), template matching and classification recognition (using machine or deep learning algorithms for target comparisons and category determination)—to ultimately achieve the real-time detection, continuous tracking and precise recognition of various static and dynamic targets (such as vehicles, pedestrians, specific objects, etc.) in the scene. However, image processing, target tracking and recognition technologies face numerous challenges, such as poor target saliency, complex dynamic scenes, occlusion interference and real-time application requirements, and continuous innovation is still needed to meet the growing application demands.

This Special Issue aims to cover the latest research and innovative achievements in the field of image processing, target tracking and recognition system design, providing a high-level academic exchange platform for scholars worldwide to promote knowledge and idea sharing. We invite you to submit original research papers and review articles exploring the key technical challenges, emerging trends and breakthrough applications in this field, with the aim of deepening theoretical understanding, promoting technological innovation and contributing to the coordinated development of related disciplines. The topics of interest for this Special Issue include but are not limited to the following:

• Image preprocessing, denoising, restoration and enhancement methods;
• Image segmentation, registration and fusion techniques;
• Target detection, tracking and recognition methods based on the use of traditional features or machine learning;
• The application of small-sample, weak supervision and unsupervised learning in object recognition;
• Target tracking technologies robust to interference in complex scenes;
• Small-target detection, tracking and recognition algorithms;
• Target detection, tracking and recognition algorithms for use with remote sensing images;
• Multi-sensor data fusion processing algorithms;
• Real-time image processing and target recognition system architecture design;
• The implementation of embedded platforms, edge computing and hardware acceleration technologies.

By bringing together cutting-edge research, this Special Issue aims to promote advancements in the accuracy, efficiency and scalability of image processing, target tracking and recognition systems. We look forward to receiving your contributions.

Prof. Dr. Qingyu Hou
Guest Editor

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• image processing
• object tracking
• object identification
• pattern recognition
• computer vision
• deep learning
• real-time systems
• intelligent processing equipment