A5055588520- Image Processing and 3D Reconstruction
- Domain Adaptation and Few-Shot Learning
- Video Surveillance and Tracking Methods
- Advanced Computational Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Remote Sensing and LiDAR Applications
- 3D Shape Modeling and Analysis
- Automated Road and Building Extraction
- Human Pose and Action Recognition
- Face and Expression Recognition
- Energy Efficient Wireless Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
- Target Tracking and Data Fusion in Sensor Networks
University of Technology Sydney
2025
Amirkabir University of Technology
2010-2011
In this paper, a new sensor selection scheme for target tracking in binary networks using auxiliary particle filter is proposed that leads to computation complexity reduction. Binary provide set of signals based on presence or absence detection region sensors. Computation the filtering can be major problem its practical use application. We introduce criterion selecting neighbors each sensor, and limited one neighborhood sensors, which identified as most important effective neighborhood....
Face recognition is a non-contact biometric identification that tries to verify individuals automatically based on their images. Computational time and accuracy rate are important aspects be considered for Recognition systems. Huasdorff distance dissimilarity measurement between two point sets which has been increasingly used face recognition. In this paper, we have proposed modified criterion Hausdorff distance, conspicuously decreases the excessive computational while increases of...