Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker et al.
This paper presents a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames. Our baselines address three issues: the performance of various combinations of detectors and recognizers, mechanisms for pedestrian detection to...
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian et al.
Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and extended the advances, e.g., SSD and Faster R-CNN, to produce temporal locations of an action in a 1D sequence. Neverthele...
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 ...
Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu et al.
Temporal action proposal generation is an important task, aiming to localize the video segments containing human actions in an untrimmed video. In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on th...
Zhaofan Qiu, Ting Yao, Chong‐Wah Ngo, Xinmei Tian et al.
Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for visual recognition problems. Nevertheless, the convolutional filters in these networks are local operations while ignoring the large-range dependency. Such drawback becomes even worse particularly for video reco...
Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng et al.
Multi-person pose estimation is an important but challenging problem in computer vision. Although current approaches have achieved significant progress by fusing the multi-scale feature maps, they pay little attention to enhancing the channel-wise and spatial information of the feature maps. In this...
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...
Md. Zahirul Islam, Mohammad Shahadat Hossain, Raihan Ul Islam, Karl Andersson
Computer is a part and parcel in our day to day life and used in various fields. The interaction of human and computer is accomplished by conventional input devices like mouse, keyboard etc. Hand gestures can be a useful medium of human-computer interaction and can make the interaction easier. Gestu...
Md. Mohiminul Islam, Sarah Siddiqua, Jawata Afnan
Human Computer Interaction (HCI) is a broad research field based on human interaction with computers or machines. Basically, Hand Gesture Recognition (HGR) is a subfield of HCI. Today, many researchers are working on different HGR applications like game controlling, robot control, smart home system,...
Muhammad Usama Islam, Hasan Mahmud, Faisal Bin Ashraf, Md. Iqbal Hossain et al.
Musculoskeletal disorder is increasing in humans due to accidents or aging which is a great concern for future world. Physical exercises can reduce this disorder. Yoga is a great medium of physical exercise. For doing yoga a trainer is important who can monitor the perfectness of different yoga pose...
Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Satoshi Nishimura, Jungpil Shin
Sign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between deaf and non-deaf communities, surpassing traditional interpreter-based approaches. Existing efforts in automatic sign recognition predominantly rely on hand skeleton joint information, st...
Mohammed Zakariah, Yousef Ajami Alotaibi, Deepika Koundal, Yanhui Guo et al.
Sign language is essential for deaf and mute people to communicate with normal people and themselves. As ordinary people tend to ignore the importance of sign language, which is the mere source of communication for the deaf and the mute communities. These people are facing significant downfalls in t...
Shakil Ahmed Sumon, Mohammad Raihan Goni, Niyaz Bin Hashem, Md Tanzil Shahria et al.
In this paper, we have explored different strategies to find out the saliency of the features from different pretrained models in detecting violence in videos. A dataset has been created which consists of violent and non-violent videos of different settings. Three ImageNet models; VGG16, VGG19, ResN...
Mohammad Ali Moni, A. B. M. Shawkat Ali
Gesture is one of the most natural and expressive ways of communications between human and computer in a virtual reality system. We naturally use various gestures to express our own intentions in everyday life. Hand gesture is one of the important methods of non-verbal communication for human beings...
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...