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Object Detection with Gross Size Estimation Using Advanced Segmentation Algorithm in Multimedia Mining
MUDITA BHADANIA, DR. BHUPESH GOUR Research Scholar, Department of Computer Science and Engineering, Technocrate Institute of Technology, Bhopal, India Professor, Department of Computer Science and Engineering, Technocrate Institute of Technology, Bhopal, India
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Abstract: Segmentation of objects plays an important role in images and real-time for Multimedia applications, Machine vision, Medical imaging and Recognition Tasks. In the recent researches a great challenge is the object detection in a surveillance security system and traffic management there was a great need to find the gross size of the detected object in system to better analysis in different aspects. So In this paper we are trying to detect objects in multimedia files using advance segmentation algorithm. This is a hybrid form of Joint Segmentation Algorithm (JSEG) and edge based algorithms with gross size estimation of objects in Images and Videos.
Keywords: Joint Segmentation, Edge based Algorithm, Gross Size Estimation, and Image Segmentation
Keywords: Joint Segmentation, Edge based Algorithm, Gross Size Estimation, and Image Segmentation
How to Cite:
[1] MUDITA BHADANIA, DR. BHUPESH GOUR Research Scholar, Department of Computer Science and Engineering, Technocrate Institute of Technology, Bhopal, India Professor, Department of Computer Science and Engineering, Technocrate Institute of Technology, Bhopal, India, “Object Detection with Gross Size Estimation Using Advanced Segmentation Algorithm in Multimedia Mining,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.