Action recognition

Ebook Designing with the mind in mind - Simple guide to understanding user interface design rules presents the following content: We perceive what we expect; our vision is optimized to see structure; we seek and use visual structure; reading is unnatural; our color vision is limited; our peripheral vision is poor; our attention is limited; our memory is imperfect; limits on attention, shape, thought and action; recognition is easy; recall is hard; learning from experience and performing learned actions are easy; problem solving and calculation are hard; many factors affect learning; we have...

188p zizaybay1103 29-05-2024 2 1   Download

In this paper, we propose a novel data collection methodology and present BK-Student Activity Dataset (BK-SAD), a new 2D dataset for student activity recognition in smart classrooms that outperforms the existing NTU RGB+D 120 dataset, SBU Kinect Interaction dataset.

8p vijeff 30-11-2023 6 2   Download

Mangrove forests, typically found along tropical and subtropical coastlines, have a crucial role in preventing coastal erosion, mitigating the effects of wave actions, and safeguarding coastal habitats. This study utilized PlanetScope mangrove forests and a Combined Mangrove Recognition Index (CMRI), which was suitable for detecting mangrove cover along the coast of Tien Yen district with an overall accuracy of over 93.0% and a Kappa coefficient greater than 0.90 for the selected years.

13p vispacex 16-11-2023 8 2   Download

In this paper, we propose to use Mediapipe, which is a Microsoft built-in framework for 3D human pose estimation. The test was evaluated against the MADS (Martial Arts, Dancing, and Sports Dataset) database, in which we focused on sports videos such as: basketball, volleyball, football, rugby, tennis and badminton. The average estimate error is between 100-200mm. The 3D human posture estimation results are a good result in supporting sports analysis.

11p nhanchienthien 25-07-2023 8 3   Download

In this paper, we propose a method that combines face recognition and action recognition for fall detection. Specifically, we identify seven basic actions that take place in the elderly daily life based on skeleton data extracted using the YOLOv7-Pose model.

8p viargus 20-02-2023 2 2   Download

In this paper, we propose a model to recognize the patient's hand action in rehabilitation exercises, which is a combination of the results of a deep learning network recognizing actions on Video RGB, R(2+1)D, and a main interactive object in the exercise detection algorithm.

15p vidumbledore 19-01-2023 14 4   Download

Mangrove forests are intertidal wetlands and found along tropical, subtropical, and warm-temperate coastlines. They have vital functions in preventing coastal erosion, mitigating effects of wave actions, and protecting coastal habitats. However, mangrove forests are more likely to be vulnerable as typhoons frequently hit and under driving human pressures.

12p vikoenigsegg 26-09-2022 7 4   Download

In this paper, we propose to use Conformal Geometric Algebra (CGA) to feature extraction and reduce dimensions of the data. First, the action data is preprocessed to normalize the data. Next, use CGA to reduce dimensions of data and create feature vectors. Finally, use the LSTM for training and prediction. The experiment was conducted on the CMU dataset with 8 different actions and the results showed that the proposed method has higher results than the previous methods.

7p visherylsandberg 18-05-2022 17 3   Download

The objectives are as follows a compact presentation of human actions: Joints in the skeleton model play different roles in each action. The first objective is to find action representations that are efficient for action recognition.

130p caphesuadathemchanh 29-03-2022 15 5   Download

This paper studies a solution to build a hand tracking and gesture recognition system that allows cursor movement and corresponding actions with mouse and keyboard. The research team confirms that the system works stably, accurately and can control the computer instead of a conventional mouse and keyboard through the implementation and evaluation.

7p vikissinger 03-03-2022 8 1   Download

The main aim of this work is to detect and track human activity, and classify actions for two publicly available video databases. In this work, a novel approach of feature extraction from video sequence by combining Scale Invariant Feature Transform and optical flow computation are used where shape, gradient and orientation features are also incorporated for robust feature formulation.

27p spiritedaway36 28-11-2021 10 1   Download

Action and gesture recognition provides important information for interaction between human and devices that monitors living, healthcare facilities or entertainment activities in smart homes. Recent years, there are many learning machine models studying to recognize human action and gesture. In this paper, we propose a dynamic hand gesture recognition system based on two stream-convolution network (ConvNet) architecture. Besides, we also modify the method to enhance its performance that is suitable for indoor application.

10p nguyenxuankha_bevandan 14-08-2020 22 3   Download

This paper presents a fast and simple method for human action recognition. The proposed technique relies on detecting interest points using SIFT (scale invariant feature transform) from each frame of the video. A fine-tuning step is used here to limit the number of interesting points according to the amount of details. Then the popular approach Bag of Video Words is applied with a new normalization technique. This normalization technique remarkably improves the results. Finally a multi class linear Support Vector Machine (SVM) is utilized for classification.

7p trinhthamhodang1 16-11-2019 27 0   Download

Human action recognition is an active research topic in recent years due to its wide application in reality. This paper presents a new method for human action recognition from depth maps which are nowadays highly available thanks to the popularity of depth sensors.

5p viminotaur2711 29-10-2019 19 1   Download

The article presents an advanced driver assistance system (ADAS) based on a situational recognition solution and provides alert levels in the context of actual traffic. The solution is a process in which a single image is segmented to detect pedestrians’ position as well as extract features of pedestrian posture to predict the action.

13p viconandoyle2711 29-08-2019 29 0   Download

This paper presents a human action recognition method using dynamic time warping and voting algorithms on 3D human skeletal models. In this method human actions, which are the combinations of multiple body part movements, are described by feature matrices concerning both spatial and temporal domains.

9p vixyliton2711 17-04-2019 10 0   Download

The article presents an advanced driver assistance system (ADAS) based on a situational recognition solution and provides alert levels in the context of actual traffic. The solution is a process in which a single image is segmented to detect pedestrians’ position as well as extract features of pedestrian posture to predict the action.

13p thuyliebe 05-10-2018 45 0   Download

In this paper, we propose a technique of Kinect based character navigation in VR Game. As environment is supported by Kinect, we implement character navigation by player’s hand actions. Besides, we use markers to increase the effectiveness of hand action recognition. In our experiments, character’s rotations reaches 70% in accuracy. Straight movement and turning reach 98% in accuracy.

8p truongtien_09 10-04-2018 29 4   Download

Generative methods, topic discovery in images, application of pLSA action recognition, multiple actions,... As the main contents of the lecture "Generative learning methods for bags of features". Each of your content and references for additional lectures will serve the needs of learning and research.

24p quanghuy_tpv 01-11-2015 48 3   Download

The international significance of research into the sources, behaviour, fate, and effects of persistent organic pollutants (POPs) is exemplified by the Stockholm Convention for which the host organisation is the United Nations Environment Programme (UNEP). Following extensive negotiation, it was adopted on 22 May 2001, entered into force 90 days after the 50th party had ratified it on 17 May 2004, and by late 2008 there were over 180 participants (http://chm.pops.int/).

292p phongmt1993 09-08-2013 92 16   Download