Title: Human action recognition: a construction of codebook by discriminative features selection approach

Authors: Samra Siddiqui; Muhammad Attique Khan; Khalid Bashir; Muhammad Sharif; Faisal Azam; Muhammad Younus Javed

Addresses: Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan ' Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan; Department of Computer Science and Engineering, HITEC University, Museum Road, Taxila, Pakistan ' Faculty of Computer and Information Systems, Islamic University of Madinah, Saudi Arabia ' Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan ' Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan ' Department of Computer Science and Engineering, HITEC University, Museum Road, Taxila, Pakistan

Abstract: Human activity recognition (HAR) has significance in the domain of pattern recognition. HAR handles the complexity of human physical changes and heterogeneous formats of same human actions performed under dissimilar subjects. This research contributes a unique method focusing on the changes in human movement. The purpose is to identify and categorise human actions from video sequences. The interest points (IPs) are extracted from the subject video and motion history images (MHIs) are constructed and analysed after image segmentation. Discriminative features (DFs) are selected and the visual vocabulary is learned from the extracted DF (EDF). The EDF are then quantised by using visual vocabulary and images are represented based upon frequencies of visual words (VW). VW are formed from the EDF and then, a histogram of VW is developed based on the feature vectors extracted from MHI. These feature vectors are used for training support vector machine (SVM) for the classification of actions into various categories. Benchmark datasets like KTH, Weizmann and HMDB51 are used for evaluation and comparison with existing action recognition approaches depicts the better performance of adopted strategy.

Keywords: human activity recognition; HAR; motion history image; MHI; object recognition; silhouette extraction.

DOI: 10.1504/IJAPR.2018.094815

International Journal of Applied Pattern Recognition, 2018 Vol.5 No.3, pp.206 - 228

Received: 28 Oct 2017
Accepted: 09 May 2018
Published online: 23 Sep 2018 *

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