Session Title: Target Detection, Tracking, and Public Opinion Analysis

Session Chair: Assoc. Prof. Xuzhen Zhu, Beijing University of Posts and Telecommunications, China

 

Session Co-chairs: Prof. Zengping Zhang, Inner Mongolia University of Finance and Economics, China

Assoc. Prof. Tieliang Gao, Xinxiang University, China

Dr. Yajuan Cui, Zhengzhou University of Light Industry, China

Keywords: Machine Vision, Target Detection, Multimodal, Target Tracking, Target Localization, Temporal Synchronization, Public Opinion Analysis, Space-Air-Ground Integrated

Information: This special topic, "Machine Vision, Object Detection & Tracking, and Public Opinion Analysis," focuses on cutting-edge interdisciplinary research in computer vision, social computing, and spatial information technology. It systematically explores the core advances, key challenges, and innovative applications of three independent technical directions: "Machine Vision," "Public Opinion Analysis," and "Integrated Space-Air-Ground."

The Machine Vision direction delves into the fundamental theories and key technologies of machine vision, primarily encompassing object detection, object tracking, and object localization tasks. It emphasizes research on breakthrough methods to enhance algorithm robustness, real-time performance, and accuracy under complex scenarios. Core topics include: efficient fusion strategies for multi-modal sensing (visible light, infrared, radar, depth, etc.) data and their application in vision tasks; the critical role of time synchronization technology in continuous frame processing and multi-source sensor data fusion, ensuring spatiotemporal consistency of perception results. Typical applications involve intelligent surveillance, autonomous driving, robot navigation, human-computer interaction, and smart cities.

The Public Opinion Analysis direction is dedicated to the theoretical, methodological, and systemic research of public opinion analysis. Its core lies in accurately perceiving, deeply understanding, and predicting the evolutionary trends of social sentiment from massive, multi-source, heterogeneous network data (text, images, videos, social relationships, etc.). Key research focuses on core technologies including public opinion information extraction, sentiment analysis, opinion mining, propagation modeling, influence assessment, event evolution analysis, and false information detection. The research integrates big data analytics, natural language processing, social network analysis, and machine learning to provide intelligent support for insights into public sentiment, social hotspots, brand reputation, and policy feedback. Application scenarios primarily include social governance, brand management, market research, crisis warning, and public service optimization.

The Integrated Space-Air-Ground direction concentrates on the construction challenges and applications of integrated space-air-ground networks and systems. Core research investigates how to collaboratively integrate the sensing, communication, and computing resources of space-based (satellites), air-based (UAVs, etc.), and ground-based platforms to achieve collaborative intelligence over wide areas. Key topics include: novel object detection, tracking, and localization methods for space-air-ground collaborative environments; fusion processing and analysis techniques for multi-source, multi-modal (optical, SAR, hyperspectral, signals, etc.) data from space, air, and ground; high-precision time synchronization and spatial registration technologies under wide-area distributed systems. Typical applications encompass large-scale environmental and disaster monitoring, wide-area object search and tracking, smart city three-dimensional sensing, and national security domains.

The topics to be covered include, but are not limited to:

• Object Detection Algorithm Optimization
• Multimodal Data Fusion
• Real-Time Object Tracking Techniques
• Multiple Object Perception and Tracking
• Multi-Sensor Temporal Synchronization and Calibration
• Multi-Source Heterogeneous Public Opinion Data Fusion and Representation Learning
• Social Media Sentiment Analysis and Opinion Mining
• Public Opinion Propagation Modeling and Influence Assessment
• Cross-Modal Retrieval
• Communication of SAGIN（Space-Air-Ground Integrated Network）

Submission Deadline: September 30, 2025