A5033949551- Video Surveillance and Tracking Methods
- Rough Sets and Fuzzy Logic
- Immune cells in cancer
- Advanced Image and Video Retrieval Techniques
- Neuroinflammation and Neurodegeneration Mechanisms
- Image Processing and 3D Reconstruction
- Advanced Vision and Imaging
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Fire Detection and Safety Systems
- Fire dynamics and safety research
- Video Analysis and Summarization
- Advanced Steganography and Watermarking Techniques
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Financial Distress and Bankruptcy Prediction
- Remote-Sensing Image Classification
- Image Retrieval and Classification Techniques
- Smart Agriculture and AI
- Advanced Image Fusion Techniques
- Computer Graphics and Visualization Techniques
- Hand Gesture Recognition Systems
- Robotics and Sensor-Based Localization
- Fire effects on ecosystems
- Robotic Path Planning Algorithms
- Atherosclerosis and Cardiovascular Diseases
University of Hull
2023-2024
VIT-AP University
2022
SRM University
2022
Indian Institute of Technology Jodhpur
2020-2021
Indian Statistical Institute
2011-2019
National Institute of Technology Rourkela
2009-2010
Dopamine (DA) plays many roles in the brain, especially movement, motivation, and reinforcement of behavior; however, its role regulating innate immunity is not clear. Here, we show that DA can induce DNA-based extracellular traps primary, adult, human microglia BV2 cell line. These are formed independent reactive oxygen species, actin polymerization, death. functional capture fluorescein (FITC)-tagged Escherichia coli even when species production or polymerization inhibited. We microglial...
This paper aims at developing a novel methodology for unsupervised video tracking by exploring the merits of neighborhood rough sets. A filter is designed in this process initial labeling continuous moving object(s) even presence several variations different feature spaces. The locations and color models are estimated using their lower-upper approximations spatio-color granular space. Velocity granules acceleration then defined over estimation to predict object location next frame speed up...
A new method of adaptive rule generation in granular computing framework is described based on rough base and flow graph, applied for video tracking. In the process, several concepts operations are introduced, methodologies formulated with superior performance. The graph enables defining an intelligent technique adaptation where its characteristics mapping relevance attributes rules decision-making system exploited. Two features, namely, expected mutual dependency between graphs defined to...
The primary focus of the method, developed here is on classifying soil types from satellite images with deep convolutional neural network. As we know there exist different around land regions earth. But physical and chemical properties varies not only change in regions, but also time due to factors like, deforestation, addition waste etc. Here this work aim develop a method classify based their by analysing images. four types, namely, alluvial, black, desert red, available India has been...
Predicting on-road abnormalities such as road accidents or traffic violations is a challenging task in surveillance. If predictions can be done advance, many damages controlled. Here our wok, we tried to formulate solution for automated collision prediction surveillance videos with computer vision and deep networks. It involves object detection, tracking, trajectory estimation, prediction. We propose an end-to-end system, named COLLIDE-PRED, that intelligently integrates the information of...
In this paper we propose a novel algorithm for object tracking from Video images based on segmentation and Kernel procedure. Many algorithms have been developed during last few years. The computational complexity becomes very high in those kernel techniques. our proposed method the target localization problem is minimized using technique, instead of mean shift algorithm. Following technique candidate gets minimized, then comparing with model by Bhattacharya coefficient can easily be...
In this paper we propose a novel algorithm for object tracking from Video images based on segmentation and Kernel procedure. Many algorithms have been developed during last few years. The computational complexity becomes very high in those kernel techniques. our proposed method the target localization problem is minimized using technique, instead of mean shift algorithm. Following technique candidate gets minimized, then comparing with model by Bhattacharya coefficient can easily be...
In this paper we propose a novel method for object tracking in video images. The is based on image segmentation and pattern matching. All moving still objects images can be detected accurately with the help of efficient techniques. We hybrid algorithm using notion Particle Swarm Optimization (PSO) Fuzzy-C-Means (FCM) clustering results obtained successive frames are exploited matching simple feature space. As consequence, multiple tracked simultaneously. perform simulation experiments to...
Abstract Today all educational institutes stress on the importance of continuous evaluation. This directly impacts number assessments to be done for various projects, quizzes, assignments, and exams. It becomes a time resource- intensive task instructors evaluate these submissions with accuracy. Additionally, instructor also needs keep check whether any student has plagiarized from web or if there is case intrinsic plagiarism among students. With huge set information internet, one can easily...
This work focuses on designing a pipeline for the prediction of bankruptcy. The presence missing values, high dimensional data, and highly class-imbalance databases are major challenges in said task. A new method data imputation with granular semantics has been introduced here. merits computing have explored here to define this method. values predicted using feature reliable observations low-dimensional space, space. granules formed around every entry, considering few correlated features...
This paper presents a novel methodology for tracking single moving object in video sequence applying the concept of rough set theory. The novelty this technique is that it does not consider any prior information about unlike
This article defines new methods for unsupervised fire region segmentation and threat detection from video stream. Fire in control serves a number of purposes to human civilization, but it could simultaneously be once its spread becomes uncontrolled. There exists many on non-fire classification. But the approaches determine associated with is relatively scare, no such method has been formulated yet. Here we focus developing an which can quantified accordingly generate alarm automated...
Extracellular traps (ETs) are composed of decondensed chromatin and embedded with various antimicrobial proteins like myeloperoxidase histones. Recently, we reported that dopamine (DA) induces ETs in BV2 microglia cell line primary adult human a manner independent death, reactive oxygen species, actin polymerization. This protocol details how to characterize DA-induced microglia. The protocols for characterization may also be used other adherent lines. For complete on the use execution this...
Dopamine plays many roles in the brain, especially in; movement, motivation, and reinforcement of behavior, however, its role regulating innate immunity is not clear. Here we show for first time that dopamine can induce DNA based extracellular traps primary, adult, human microglia BV2 cell line. These are formed independent reactive oxygen species, actin polymerization death. functional capture FITC tagged Escherichia coli even when species production or inhibited. We present Glioblastoma...