EAR: Enhanced augmented reality system for sports entertainment applications

Zahid Mahmood, Tauseef Ali, Nazeer Muhammad*, Nargis Bibi, Imran Shahzad, Shoaib Azmat

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    45 Citations (Scopus)
    17 Downloads (Pure)


    Augmented Reality (AR) overlays virtual information on real world data, such as displaying useful information on videos/images of a scene. This paper presents an Enhanced AR (EAR) system that displays useful statistical players’ information on captured images of a sports game. We focus on the situation where the input image is degraded by strong sunlight. Proposed EAR system consists of an image enhancement technique to improve the accuracy of subsequent player and face detection. The image enhancement is followed by player and face detection, face recognition, and players’ statistics display. First, an algorithm based on multi-scale retinex is proposed for image enhancement. Then, to detect players’ and faces’, we use adaptive boosting and Haar features for feature extraction and classification. The player face recognition algorithm uses boosted linear discriminant analysis to select features and nearest neighbor classifier for classification. The system can be adjusted to work in different types of sports where the input is an image and the desired output is display of information nearby the recognized players. Simulations are carried out on 2096 different images that contain players in diverse conditions. Proposed EAR system demonstrates the great potential of computer vision based approaches to develop AR applications.

    Original languageEnglish
    Pages (from-to)6069-6091
    Number of pages23
    JournalKSII Transactions on Internet and Information Systems
    Issue number12
    Publication statusPublished - Dec 2017


    • Computer vision
    • Face recognition
    • Image enhancement
    • Image processing
    • Multi-Scale Retinex

    Cite this