Search
Search Results
-
F2D-SIFPNet: a frequency 2D Slow-I-Fast-P network for faster compressed video action recognition
Recent video action recognition methods directly use RGB pixels in the compressed domain. The cumbersome decoding process of traditional methods is...
-
Fast shape recognition via a bi-level restraint reduction of contour coding
Shape recognition is an active research topic in the field of computer vision and graphic computing. Nevertheless, existing methods are still poor in...
-
Fast–slow visual network for action recognition in videos
The visual speed, as important visual information on videos, has the ability to enhance the performance of video action recognition. Modeling the...
-
A lightweight fast human activity recognition method using hybrid unsupervised-supervised feature
The rapid growth of the elderly population has become an important issue for today’s society. Ambient-assisted living is a new means that focuses on...
-
Keypoint Changes for Fast Human Activity Recognition
Human activity recognition has been an open problem in computer vision for almost 2 decades. During this time, there have been many approaches...
-
An Edge Computing System for Fast Image Recognition Based on Convolutional Neural Network and Petri Net Model
As a computer system can precisely detect some target objects, many application scenarios will be developed. In this study, the customized object...
-
Fast dynamic texture recognition based on block estimation and axial spatio-temporal motion vector components
Current dynamic texture motion-based features are practically all pixel-based signatures, therefore making the recognition slow and favoring the...
-
Efficient bat-inspired block matching algorithm with novel motion energy directional histograms for dynamic texture fast recognition
Motion estimation is a crucial step in Dynamic Texture (DT) Motion-based recognition systems, as it directly affects the system’s overall accuracy...
-
Research on fast text recognition method for financial ticket image
Currently, deep learning methods have been widely applied and thus promoted the development of different fields. In the financial accounting field,...
-
A fast recognition method for coal gangue image processing
This paper proposes a modified YOLOv4 model, named GYOLO, for coal gangue recognition with the aim of reducing model parameters, improving...
-
Fast recognition system forTree images based on dual-task Gabor convolutional neural network
Aiming at the difficult problem of complex extraction for tree image in the existing complex background, we took tree species as the research object...
-
A fast face recognition based on image gradient compensation for feature description
To improve the efficiency of traditional face recognition techniques, this paper proposes a novel face recognition algorithm called Image Gradient...
-
Object detection and recognition using contour based edge detection and fast R-CNN
Object detection is a technique of computer vision whose primary intent is to detect objects. The objects can be detected from any image or video...
-
Fast facial expression recognition using Boosted Histogram of Oriented Gradient (BHOG) features
Systems for automatic facial expression recognition (FER) have an enormous need in advanced human-computer interaction (HCI) and human-robot...
-
Fast‐moving coin recognition using deep learning
Deep learning has made essential contributions to the development of visual object detection and recognition. Identifying fast-moving objects from...
-
Design of a Fast Recognition Method for College Students’ Classroom Expression Images Based on Deep Learning
The expressions of students in class will directly reflect their classroom state. Therefore, this paper proposes a fast recognition method for...
-
Development of Speech Technologies at Trunin-Donskoy’s School: From Sound Recognition to Natural Speech Recognition
AbstractThe team of the speech recognition sector of the Computing Center of the Russian Academy of Sciences has participated in the development of...
-
FRIH: A face recognition framework using image hashing
Face recognition is one of the most important research topics in computer vision. Indeed, the face is an important means of communication with humans...
-
RGB-D feature extraction method for hand gesture recognition based on a new fast and accurate multi-channel cartesian Jacobi moment invariants
Due to the diversity of hand gestures uses in human computer interaction and the complexity involved by gestures, many features have been proposed,...
-
Heterogeneous multi-task smoking behavior recognition model combined with attention
The traditional behavior recognition model has the disadvantage that it can’t get the internal relationship between similar behaviors, such as...
