Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Yousuf et al.
Md. Ashaduzzaman Niloy, Anika Shama, Ripon K. Chakrabortty, Michael J. Ryan et al.
Robots that can move autonomously and can make intelligent decisions by perceiving their environments and surrounding objects are known as autonomous mobile robots. Such robots have rapidly moved from laboratories to automated industries to fill a variety of roles in our lives, homes, offices, hospi...
Md. Milon Islam, Omar Tayan, Md. Repon Islam, Md. Saiful Islam et al.
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the elderly. Accidental falls also have a remarkable impact on the costs of national health systems. Thus, extensive research and development of fall detection and rescue systems are a necessity. Technologies related...
Niluthpol Chowdhury Mithun, Nafi Ur Rashid, S. M. Mahbubur Rahman
Detection and classification of vehicles are two of the most challenging tasks of a video-based intelligent transportation system. Traditional detection and classification methods are computationally highly expensive and become unsuccessful in many cases such as occlusion among the vehicles and when...
Md Golam Morshed, Tangina Sultana, Aftab Alam, Young-Koo Lee
Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-base...
Hongqing Zhu, M. Liu, Huazhong Shu, Hengliang Zhang et al.
Discrete orthogonal moments such as Tchebichef moments and Krawtchouk moments are more powerful in image representation than traditional continuous orthogonal moments. However, less work has been done for the summarisation of these discrete orthogonal moments. This study proposes two general forms w...
Sadia Sharmin, Mohammad Shoyaib, Amin Ahsan Ali, Muhammad Asif Hossain Khan et al.
Recently mutual information based feature selection criteria have gained popularity for their superior performances in different applications of pattern recognition and machine learning areas. However, these methods do not consider the correction while computing mutual information for finite samples...
Md. Rafiuzzaman Bhuiyan, Sharun Akter Khushbu, Md. Sanzidul Islam
Computer vision learning pay a high attention due to global pandemic COVID-19 to enhance public health service. During the fatality, tiny object detection is a more challenging task of computer vision, as it recruits the pair of classification and detection beneath of video illustration. Compared to...
Akm Ashiquzzaman, Abdul Kawsar Tushar
Handwritten character recognition is an active area of research with applications in numerous fields. Past and recent works in this field have concentrated on various languages. Arabic is one language where the scope of research is still widespread, with it being one of the most popular languages in...
Mahbuba Begum, Jannatul Ferdush, Mohammad Shorif Uddin
Digital data sharing is increased day by day due to the rapid access of the Internet by mass people. Multimedia, for example text, image, video, and audio can be easily accessed by unauthorized users. To ensure multimedia security, researchers are focusing on digital image watermarking. A robust wat...
Md Jaber Al Nahian, Tapotosh Ghosh, Md. Hasan Al Banna, Mohammed Aseeri et al.
Fall causes trauma or critical injury among the geriatric population which is a second leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly people under supervision by ensuring proper privacy and comfort. Thus the elderly fall detection and prediction usi...
Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan et al.
This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and data science, a tree-like model as that of decision tree is considered as one of the most popular classification techniques...
Md. Mahbubar Rahman, M. A. H. Akhand, Shahidul Islam, Pintu Chandra Shill et al.
Handwritten character recognition complexity varies among different languages due to distinct shapes, strokes and number of characters. Numerous works in handwritten character recognition are available for English with respect to other major languages such as Bangla. Existing methods use distinct fe...
Steven Strachan, Parisa Eslambolchilar, Roderick Murray‐Smith, Stephen Hughes et al.
We combine the functionality of a mobile Global Positioning System (GPS) with that of an MP3 player, implemented on a PocketPC, to produce a handheld system capable of guiding a user to their desired target location via continuously adapted music feedback. We illustrate how the approach to presentat...
Sheikh Nooruddin, Md. Milon Islam, Falguni Ahmed Sharna, Husam Y. Al-Hetari et al.