A5004225243- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Advanced Image Fusion Techniques
- Vehicle License Plate Recognition
- AI in cancer detection
- Cutaneous Melanoma Detection and Management
- Advanced Vision and Imaging
- Face recognition and analysis
- Advanced Sensor and Energy Harvesting Materials
- Fire Detection and Safety Systems
- Image and Signal Denoising Methods
- Infrared Target Detection Methodologies
- Ultrasound Imaging and Elastography
- Digital Imaging for Blood Diseases
- Recycling and Waste Management Techniques
- Cryptography and Data Security
- Plant and animal studies
- Coding theory and cryptography
- Visual Attention and Saliency Detection
- Surface Modification and Superhydrophobicity
- Remote-Sensing Image Classification
- Smart Agriculture and AI
- Cryptography and Residue Arithmetic
Jadavpur University
2021-2025
In the contemporary era of automation, efficient utilization technology is paramount importance. However, despite these advancements, incidents such as road accidents persist a critical concern. This study endeavors to streamline traffic signal detection proactive measure mitigate and enhance safety. The Smart Traffic Signal Detection System has been designed identify signals proactively alert drivers, particularly in high-traffic situations. Additionally, system assists monitoring recording...
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Abstract The field of real-time mobile object tracking is a crucial aspect computer vision. Despite numerous algorithms proposed for efficient tracking, the high computational complexity presents challenges in achieving performance. This paper novel approach by introducing an adaptive search region proposal block that works tandem with Mean Shift and Unscented Kalman Filter. efficiently searches estimated location. dynamic changes appearance size moving target make difficult, but Multi-scale...
Accurate and reliable cancer categorization is crucial for informing medical decisions improving patient care. Deep learning algorithms have emerged as a promising approach due to their ability extract intricate patterns correlations from large clinical datasets. In this paper, we propose novel ensemble technique based on the Levy Stable probability density function (PDF) deep methodologies classification, aiming enhance accuracy of subtype prediction. model employs robust ranking mechanism...
Mobile object tracking is one of the integral parts computer vision study. Different algorithms have been developed and open-sourced in applications, yet, there huge scope for improvement to fulfill real-time application. Keeping this requirement mind a new tracker model has proposed paper which dynamically selects between Mean-shift algorithm Unscented Kalman Filter (UKF). The novelty method finding threshold value (β), defined selection purpose whose computed taking into account analytical...
Farm ecosystems are seriously threatened by woody weeds' invasion of other plant species. In addition to shading out and replacing native flora, these invasive plants actively compete with primary agricultural for scarce resources including sunlight, water, air, soil nutrients. Weeds have a negative effect on crop quality productivity in number ways, lower yields overall production efficiency. order overcome this obstacle, new approaches needed. One such approach is the development...