Spatial and temporal Features

Developing accurate and reliable temperature sensors with better temperature sensitivity, high spatial, temporal, and temperature resolutions via cost-effective methods is a major concern in the scientific world. Optical thermometry has gained worldwide interest owing to its unique features compared to its conventional counterparts.

15p viberbers 09-08-2023 4 3   Download

In this paper, we propose a new attention mechanism including the temporal attention module and spatial attention module. These two modules are combined in the 3D ResNet-18 network to provide “attention” to the critical features of the volume. In particular, the temporal attention module exploits the motion relationship between frames, and the spatial attention module is interested in the spatial relationship between features.

8p nhanchienthien 25-07-2023 7 5   Download

To this end, we adopt an concatenate features from different view points to obtain very competitive accuracy. To evaluate the robustness of the method, we design carefully a multi-view dataset that composes of five dynamic hand gestures in indoor environment with complex background. Experiments with single or cross view on this dataset show that background and viewpoint has strong impact on recognition robustness.

12p vitunis2711 11-12-2019 8 0   Download

This paper introduces a new approach of dynamic hand gestures controlling method. Different from existing method, the proposed gestures controlling method using a cyclical pattern of hand shape as well as the meaning of hand gestures through hand movements.

13p vititan2711 14-08-2019 14 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

Event recognition methods can be roughly categorized into model-based methods and appearance-based techniques. Model-based approaches relied on various models, includ- ing HMM [35], coupled HMM [3], and Dynamic Bayesian Network [33], to model the temporal evolution. The relationships among different body parts and regions are also modeled in [3], [35], in which object tracking needs to be conducted at first before model learning.

25p nhacsihuytuan 06-04-2013 46 7   Download

Recently, pyramid matching algorithms were proposed for different applications, such as object recognition, scene classification, and event recognition in movies and news videos [13], [25], [26], [48], [49]. These methods involved pyramidal binning in different domains (e.g., feature, spatial, or temporal domain), and improved performances were reported by fusing the information from multiple pyramid levels.

0p nhacsihuytuan 06-04-2013 70 6   Download