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1 to 5 of 5 Results
Jan 9, 2020
Lestari, Puji, 2020, "Efficient Human Detection Algorithm using Color & Depth information with Accurate Outer Boundary Matching", https://hdl.handle.net/20.500.12690/RIN/LXUHHA, RIN Dataverse, V1
Foreground segmentation has a critical role in image processing and computer vision-based applications. Extracting accurate foreground pixels, especially in the boundary region is still an unsaturated area in image analysis. The proposed method explains a segmentation scheme to e...
Jan 9, 2020
Lestari, Puji, 2020, "Human Detection from RGB Depth Image using Active contour and Grow-cut Segmentation", https://hdl.handle.net/20.500.12690/RIN/CNZ073, RIN Dataverse, V1
Computer vision based human detection systems are gaining much significance in modern security and surveillance systems. Recently, advanced camera sensors like Microsoft Kinect came to the scene and such devices are capable of detecting both color and depth details from a capture...
Jan 9, 2020
Lestari, Puji, 2020, "RGB-Depth Image Based Human Detection Using Viola-Jones and Chan-Vese Active Contour Segmentation", https://hdl.handle.net/20.500.12690/RIN/ODVKK2, RIN Dataverse, V1
Human detection refers to the process of detecting human region from an image or from video frames. Most of the recent advanced human detection systems use the segmentation scheme by incorporating the depth information of the scene. In such systems, the scene gets captured by a R...
Jan 9, 2020
Lestari, Puji, 2020, "Depth Data based Chroma Keying using Grab-cut Segmentation", https://hdl.handle.net/20.500.12690/RIN/FUW3N8, RIN Dataverse, V1
The research presents a depth-image based automatic object segmentation for chroma key editing in multimedia applications. Depth data taken from advanced depth data capturing devices like Microsoft Kinect has a key role in this research. The proposed approach uses both color and...
Jan 9, 2020 - Prosiding Dataverse
Lestari, Puji, 2020, "Human Detection from RGB Depth Image using Active contour and Grow-cut Segmentation", https://hdl.handle.net/20.500.12690/RIN/2MT5LG, RIN Dataverse, V1
In modern Security and Surveillance technologies, the significance of human detection and segmentation becomes having much importance. In addition to security systems, image/video editing applications demand semantic segmentation of foreground objects. For such high-quality appli...
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