Computer Vision Techniques for Detection and Recognition of Drinking Activity
This thesis presents two novel computer vision techniques for detection and recognition of drinking activities at home which utilise only the depth information from RGBD cameras. According to my best understanding, there is very little work on using video cameras with depth sensor for the detection...
Saved in:
主要作者: | Tham, Jie Sheng |
---|---|
格式: | Thesis |
出版: |
2016
|
主題: | |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Vision-Based Hand Gesture Recognition Using Deep Learning Approach
由: Tan, Yong Soon
出版: (2019) -
Adaptive Quality of Service violation detection and remediation for cloud computing
由: Khan, Hassan Mahmood
出版: (2022) -
Enhanced Conditional Generative Adversarial Network For Handling Subject Variability In Human Activity Recognition
由: Jimale, Ali Olow
出版: (2023) -
Enhanced Techniques For Detection And Classification Of Neighbor Discovery Protocol Anomalies
由: Firas (M.H.) S., Najjar
出版: (2016) -
A Statistical Approach Towards Worm Detection Using Cross-Relation Technique
由: Anbar, Mohammed F.R.
出版: (2013)