Results 61 to 70 of about 2,923,075 (185)
Probabilistic activity recognition in navigation [PDF]
2014 11th Workshop on Positioning, Navigation and Communication (WPNC), 2014 In this paper we present a novel probabilistic approach to activity recognition. Our approach is to estimate posterior probabilities of different activities using Bayes' rule. The approach can handle any type of activities as long as it is possible to estimate the conditional probabilities of potential observations, and easily scales to large numbers ...
Octavi Font +4 more
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Transfer Learning-Driven Cattle Instance Segmentation Using Deep Learning Models
AgricultureAmong the emerging applications of artificial intelligence is animal instance segmentation, which has provided a practical means for various researchers to accomplish some aim or execute some order.
Rotimi-Williams Bello +3 more
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GART: The Gesture and Activity Recognition Toolkit [PDF]
, 2007 Presented at the 12th International Conference on Human-Computer Interaction, Beijing, China, July 2007.The original publication is available at www.springerlink.comThe Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed ...
Brashear, Helene +4 more
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Applications of mobile activity recognition [PDF]
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012 Activity Recognition (AR), which identifies the activity that a user performs, is attracting a tremendous amount of attention, especially with the recent explosion of smart mobile devices. These ubiquitous mobile devices, most notably but not exclusively smartphones, provide the sensors, processing, and communication capabilities that enable the ...
Jeffrey W. Lockhart +2 more
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Creating Alert Messages Based on Wild Animal Activity Detection Using Hybrid Deep Neural Networks
IEEE Access, 2023 The issue of animal attacks is increasingly concerning for rural populations and forestry workers. To track the movement of wild animals, surveillance cameras and drones are often employed.
B. Natarajan +5 more
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Complete Video-Level Representations for Action Recognition
IEEE Access, 2021 In most of the existing work for activity recognition, 3D ConvNets show promising performance for learning spatiotemporal features of videos. However, most methods sample fixed-length frames from the original video, which are cropped to a fixed size and ...
Min Li +7 more
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Frontiers in Built Environment, 2020 Real-time monitoring and assessment of construction resources have always been a challenge due to the unique, dynamic, and complex nature of each construction site and operation.
Khandakar M. Rashid, Joseph Louis
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, 2008 Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activity recognition for visualsurveillance and video monitoring. In particular we present work performed in the domain of video understanding in our PULSAR team at INRIA in Sophia ...
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Human activity recognition algorithm based on the spatial feature for WBAN
物联网学报, 2019 Traditional image-based activity recognition algorithms have some problems,such as high computational cost,numerous blind spots and easy privacy leakage.To solve the problem above,the CCLA (convolution-convolutional long short-term memory-attention ...
Chi JIN +3 more
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