Tanvir Fatima Naik Bukht1, Naif Al Mudawi2, Saud S. Alotaibi3, Abdulwahab Alazeb2, Mohammed Alonazi4, Aisha Ahmed AlArfaj5, Ahmad Jalal1, Jaekwang Kim6,*
CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1557-1573, 2023, DOI:10.32604/cmc.2023.041335
Abstract Human-human interaction recognition is crucial in computer vision fields like surveillance, human-computer interaction, and social robotics. It enhances systems’ ability to interpret and respond to human behavior precisely. This research focuses on recognizing human interaction behaviors using a static image, which is challenging due to the complexity of diverse actions. The overall purpose of this study is to develop a robust and accurate system for human interaction recognition. This research presents a novel image-based human interaction recognition method using a Hidden Markov Model (HMM). The technique employs hue, saturation, and intensity (HSI) color transformation to… More >
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