Yasushi Makihara, Hidetoshi Mannami, Akira Tsuji, Ismail Hossain et al.
This paper describes a large-scale gait database comprising the Treadmill Dataset. The dataset focuses on variations in walking conditions and includes 200 subjects with 25 views, 34 subjects with 9 speed variations from 2km/h to 10km/h with a 1km/h interval, and 68 subjects with at most 32 clothes ...
Md Atiqur Rahman Ahad, Masud Ahmed, Anindya Das Antar, Yasushi Makihara et al.
Action recognition is a very widely explored research area in computer vision and related fields. We propose Kinematics Posture Feature (KPF) extraction from 3D joint positions based on skeleton data for improving the performance of action recognition. In this approach, we consider the skeleton 3D j...
Md Atiqur Rahman Ahad, Trung Thanh Ngo, Anindya Das Antar, Masud Ahmed et al.
Wearable sensor-based systems and devices have been expanded in different application domains, especially in the healthcare arena. Automatic age and gender estimation has several important applications. Gait has been demonstrated as a profound motion cue for various applications. A gait-based age an...
Md. Rokanujjaman, Md. Shariful Islam, Ismail Hossain, Md. Rezaul Islam et al.
Thanh Trung Ngo, Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed et al.
Recently, wearable computing resources, such as smart-phones, are developing fast due to the advancements of technology and their great supports to human life. People are using smartphone for communication, work, entertainment, business, traveling, and browsing information. However, the health-care ...
Yasushi Makihara, Daigo Muramatsu, Yasushi Yagi, Ismail Hossain
This paper describes a method of score-level fusion to optimize a Receiver Operating Characteristic (ROC) curve for multimodal biometrics. When the Probability Density Functions (PDFs) of the multimodal scores for each client and imposter are obtained from the training samples, it is well known that...
Shiqi Yu, Yongzhen Huang, Liang Wang, Yasushi Makihara et al.
The Competition on Human Identification at a Distance 2021 (HID 2021) is to promote the research in human identification at a distance and to provide a benchmark to evaluate different methods. HID 2021 is the second follow-up from the first one, HID 2020. The dataset size and the evaluation protocal...
Yasushi Makihara, Daigo Muramatsu, Haruyuki Iwama, Trung Thanh Ngo et al.
This paper describes a method for score-level fusion in multi-cue two-class classification problems. Fusion based on the probability density function (PDF) of multiple scores given for each class is a promising approach because it guarantees optimality as long as the estimated PDFs are correct. Inst...