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Motion segmentation in Moving Camera Videos using Velocity Guided Optical Flow Normalization
An obstacle avoidance system is a key feature of a robot navigation system. A capable avoidance system should consider obstacles movements into account. This study proposes a new approach for detecting motion from a video captured by a moving camera, a ...
A Study on Voxel Shape Generation and Reconstruction with VQ-VAE-2
With the recent advances in deep learning, research on reconstructing and generating 3D shapes has become increasingly popular. While there are several types of representation methods for 3D shapes, our work focuses on voxel models that are arranged in ...
The Design of an Object-Oriented Constructive Solid Geometry Tree for Representing Sequential Set blends in Constructive Geometry, Soft Object, Function Representation and Zero Implicit Surface
This paper designs an object-oriented Constructive solid geometry (CSG) tree for representing sequential implicit set blends in Implicit surface modeling. This CSG tree is implemented using C++ language and every set blend or function is defined as an ...
Faster Inter Prediction by NR-Frame in VVC
VVC is the next generation video coding standard in which inter prediction plays an important role to reduce the redundancy between adjacent frames. The coding time is longer since larger blocks and more motion search are supported, and the accuracy of ...
Using Federated Learning in Anomaly Detection and Analytics on Real-time Streaming Data of Healthcare
In order to reduce mortality in critical care units, it is essential to monitor a critically ill patient consistently in a hospital's intensive care unit. According to Harvard University research, medical errors cause nearly 5,000,000 deaths in India ...
Study on Lightweight and Efficient Deep Image Compression Method Based on MBConv
There have been many studies on image compression using deep learning methods. The most of these studies have focused mainly on increasing the image compression ratio. However, for effective implementation in a wide range of mobile devices, it is ...
Sentiment Analysis from Speech Signals using Convolution Neural Network
- Rahul Kumar Chaurasiya,
- Nettem Sri Priya,
- Kothapally Gnana Praneeth,
- Gujjarlapudi Varun Kumar,
- Matsa Jahnavi,
- Tadigadapa Pranay Teja
Abstract—Sentiment analysis for emotion recognition from the speech is the most effective method for interaction of human with machines. It has obtained adequate popularity in present days with implementations in social media, medical field, traffic, ...
Improved Classification of Mental Workload Using One Dimensional Convolutional Neural Network and SMOTE Technique
Mental Workload (MWL) can be measured as the amount of mental strength necessary to complete a work. Mental workload measurement can help in the reduction of mental stress, tension, anxiety, strain, and worry, in daily life or job-specific tasks. This ...
Surface Reconstruction Based on Point Cloud Separation and Boundary RMLS
3D surface reconstruction is the basis of reconstructing real objects in virtual world, it is widely used in digital twin, virtual reality and other fields. Complex physical structure of objects, unnatural spatial geometry characteristics, shadow effect ...
CarGameAR: An Integrated AR Car Game Authoring Interface for Custom-Built Car Programed on Arduino Board
In this paper, we present CarGameAR: An Integrated AR Car Game Authoring Interface for Custom-Built Car Programed on Arduino Board. The car consists of an Arduino board, an H-bridge, and motors. The objective of the project is to create a system that ...
Design and Development of an Identification System for Gauge Meter Value
In many factories in Taiwan, there are still analog instruments used to monitor machine data. Traditionally, patrol personnel were required to walk around and manually record the data. However, this approach often led to discrepancies between the ...
Dynamic Balancing of Bipedal Robot on Inclined Terrain using Polynomial Trajectories
This paper presents foot trajectory planning for bipedal robots during the swing phase. This experiment aims to design an efficient and dynamically stable foot trajectory for a 10-DOF (Degree of freedom) bipedal robot. The experiment considers the foot'...
Index Terms
- Proceedings of the 2023 7th International Conference on Graphics and Signal Processing