A Technical Approach for Promotion of Yakshagana - A Literature Survey

Applications on video analysis and image processing, object recognition has rapidly improved in recent years. Finding a desired object has become crucial, leading to the development of several methods for object detection. Due to its high-level processing, Deep Learning is quickly advancing in this area, ability to extract deeper characteristics, and ability to be more adaptable and dependable. The author of this paper advises employing convolutional neural networks and quicker area deep neural networks for object detection to create a straightforward approach with higher precision and mean average accuracy.

Section: Related Workmentioning

confidence: 99%

Faster R-CNN Approach for Detecting Smaller Jewels in Yakshagana Image

2023

“…Murthy and Nethravathi [16] conducted a literature survey on Yakshagana, a popular folk theatre form in coastal districts. They observed that while many educational institutions in the region offer Yakshagana as an additional course, the focus is mainly on teaching himmela and dancing steps, with little attention given to dressing and makeup styles.…”

Section: Introductionmentioning

confidence: 99%

Comparison between different machine learning algorithms in detecting Crowns in Yakshagana images

2023

One of the most crucial deep learning technologies, object detection is a fast developing area of computer vision and machine learning. It helps in precisely identifying items in pictures and movies. Item detection has a wide range of uses, including raising productivity across multiple industries. For instance, it may be applied to many different fields, such as home robotics, buses, human and animal recognition, work monitoring, military defensive systems, sports, healthcare, robotics, and the aerospace industry.

“…Murthy and Nethravathi [1] conducted a literature survey on Yakshagana, a popular folk theatre form in coastal districts. They observed that while many educational institutions in the region offer Yakshagana as an additional course, the focus is mainly on teaching himmela and dancing steps, with little attention given to dressing and makeup styles.…”

Section: Introductionmentioning

confidence: 99%

Crown Detection in Yakshagana Images Using SSD

2023

A computer vision technique called object detection is used to recognise and locate items in an image or video. We make use of bounding boxes which allow us to know where the object is located in an image or a video. After locating the objects, we use different methods to group them into categories and know what the detected object is. Object detection is used in various areas like self-driving car, number plate recognition, video surveillance etc. Different methods for detecting objects have been developed in the past years. Main categories of object detection techniques are traditional computer vision and deep learning. Here in this article, we discuss about object detection using SSD and also know its advantages when compared to other object detection algorithms. We walk through the different steps involved in object detection using SSD. We make use of SSD where the output of the bounding boxes is divided into a set of boxes by default having different sizes and aspect ratios. As seen on the feature map, the network creates modifications to the default boxes to better fit the form of the objects and scores are determined by the number of times an item category occurs inside each box during prediction. We use several feature maps having different resolutions and the output obtained are combined together to help manage objects of different sizes. Further we make use of SSD for crown detection in Yakshagana images.