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Titlebook: Computer Vision and Image Processing; 6th International Co Balasubramanian Raman,Subrahmanyam Murala,Puneet G Conference proceedings 2022 T

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DenseASPP Enriched Residual Network Towards Visual Saliency Prediction,ral networks have evaded the domain to let it reach newer heights, there still exists room for improvement on how to integrate the hierarchical features efficiently. In fact, the rich features at multiple spatial scales are found to be powerful towards accurate prediction. This paper proposes a nove
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Automatic Double Contact Fault Detection in Outdoor Volleyball Videos,referees sometimes find it difficult to observe. In this work, we propose an automatic double contact fault detection approach using a single camera in outdoor volleyball video. The video is first analyzed to detect and track the ball; the bounding boxes are then processed to extract a deep Spatio-t
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Classroom Slide Narration System,e challenging for the blind and visually impaired (.) students. As such student required a personal human assistance for understand the presented slide. This shortcoming motivates us to design a Classroom Slide Narration System (.) that generates audio descriptions corresponding to the slide content
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Humanoid Robot - Spark,and gestures, walking actions, recognize various human faces and objects and perform vocal communication. Spark has a total of 66 Degrees of Freedom (DOF). Each arm has 20 DOF and each leg has 6 DOF. The head has 12 DOF and Trunk has 2 DOF. The Broadcom BCM2711 processor is used for all the major op
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(MS)2EDNet: Multiscale Motion Saliency Deep Network for Moving Object Detection,egrades the quality of segmentation. Usage of visual features like color, texture or shape, deficiencies the acquaintance of semantic evidence for foreground segmentation. In this paper, a novel compact multiscale motion saliency encoder-decoder learning network, ((MS).EDNet) is presented for moving
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