A survey on model based approaches for 2D and 3D visual human pose recovery
Human Pose Recovery has been studied in the field of Computer Vision for the last 40
years. Several approaches have been reported, and significant improvements have been …
years. Several approaches have been reported, and significant improvements have been …
Human segmentation in surveillance video with deep learning
Advanced intelligent surveillance systems are able to automatically analyze video of
surveillance data without human intervention. These systems allow high accuracy of human …
surveillance data without human intervention. These systems allow high accuracy of human …
Color image segmentation based on different color space models using automatic GrabCut
This paper presents a comparative study using different color spaces to evaluate the
performance of color image segmentation using the automatic GrabCut technique. GrabCut …
performance of color image segmentation using the automatic GrabCut technique. GrabCut …
Combing modified Grabcut, K-means clustering and sparse representation classification for weed recognition in wheat field
S Zhang, W Huang, Z Wang - Neurocomputing, 2021 - Elsevier
Weeding is beneficial to the growth of the crops in field. At present, weeding in China mainly
relies on chemical herbicide spraying on a large area, which leads to environmental …
relies on chemical herbicide spraying on a large area, which leads to environmental …
Joint-based item recognition
For an input image of a person, a set of object proposals are generated in the form of
bounding boxes. A pose detector identifies coordinates in the image corresponding to …
bounding boxes. A pose detector identifies coordinates in the image corresponding to …
Poseshop: Human image database construction and personalized content synthesis
We present PoseShop—a pipeline to construct segmented human image database with
minimal manual intervention. By downloading, analyzing, and filtering massive amounts of …
minimal manual intervention. By downloading, analyzing, and filtering massive amounts of …
Multi-modal user identification and object recognition surveillance system
We propose an automatic surveillance system for user identification and object recognition
based on multi-modal RGB-Depth data analysis. We model a RGBD environment learning a …
based on multi-modal RGB-Depth data analysis. We model a RGBD environment learning a …
Fine-grained categorization
MH Kiapour, W Di, V Jagadeesh… - US Patent 9,818,048, 2017 - Google Patents
An image is passed through an image identifier to identify a coarse category for the image
and a bounding box for a categorized object. A mask is used to identify the portion of the …
and a bounding box for a categorized object. A mask is used to identify the portion of the …
Human behavior analysis from depth maps
S Escalera - International Conference on Articulated Motion and …, 2012 - Springer
Abstract Pose Recovery (PR) and Human Behavior Analysis (HBA) have been a main focus
of interest from the beginnings of Computer Vision and Machine Learning. PR and HBA …
of interest from the beginnings of Computer Vision and Machine Learning. PR and HBA …
Color image segmentation of fishes with complex background in water
Color image segmentation of fishes with complex background in water considered a big
challenge. In this paper five segmentation methods for fishes are discussed; they are …
challenge. In this paper five segmentation methods for fishes are discussed; they are …