The First International Workshop on Human and Vehicle Analysis for Intelligent Urban Computing is organized in conjunction with ICPR2020 The 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021



The rapid proliferation of urbanization has modernized people’s lives and at the same time engendered critical challenges, such as traffic congestion, energy consumption, public security, and environmental pollution. Today, multiple multimedia sensing technologies and large-scale computing infrastructures are producing at a rapid velocity a wide variety of big multi-modality data in urban spaces, which provide rich knowledge about a city to help tackle these challenges. Consequently, intelligent urban computing has been attracting increasing attention from academia and industry. Among them, human analysis and vehicle analysis constitute the most important foundation for intelligent urban computing. There applications are becoming pervasive in the field of urban planning, transportation systems, environmental conservation, energy consumption, economy, and public security.

The goal of this workshop is to: 1) bring together the state of the art research on human and vehicle analysis for intelligent urban computing; 2) call for a coordinated effort to understand the opportunities and challenges emerging in human and vehicle analysis; 3) identify key tasks and evaluate the state-of-the-art methods; 4) showcase innovative methodologies and ideas; 5) introduce interesting real-world intelligent urban computing systems or applications; and 6) propose new real-world datasets and discuss future directions. We solicit original contributions in all fields of human and vehicle analysis that explore the big data in big cities to help us understand the nature of urban phenomena and even predict the future of cities. We believe the workshop will offer a timely collection of research updates to benefit the researchers and practitioners working in the broad computer vision, multimedia, and pattern recognition communities. To this end, we solicit original research and survey papers in (but not limited to) the following topics:

  • Face detection, face recognition, and face anti-spoofing
  • Face landmark detection and face parsing
  • Human detection, pose estimation, human parsing, and pose tracking
  • Human 3D shape estimation and reconstruction
  • Human gait recognition, person re-identification and person tracking
  • Human action recognition and trajectory recognition/prediction
  • City-scale vehicle detection, recognition and parsing
  • City-scale vehicle tracking and re-identification
  • Vehicle license plate recognition and super-resolution

Keynote Speakers

Stan Z. Li

Tony Han

Si Liu


Submission and Review

Reviewing of full and short submissions will be single-blind. Accepted submissions will be presented either as oral or posters at the workshop, and published in the ICPR 2020 Workshops volume, edited by the Springer Lecture Notes in Computer Science (LNCS) series.

  • Full papers: 12-15 pages
  • Short papers: 6-8 pages
  • Submission must be formatted according to the Springer template .

    Submission Site

    The submission site is available at:

    Important Dates