Nam Trung Pham
Papers
1
Total Citations
3
H-Index
1
About
Nam Trung Pham is a researcher whose work lies at the intersection of computer vision and intelligent surveillance systems, with a particular focus on human appearance analysis and semantic attribute recognition. His most cited contribution, "Sling bag and backpack detection for human appearance semantic in vision system" (2013), addresses a critical gap in surveillance technology: the ability to automatically detect and label whether a person carries accessories like bags or backpacks. This work enhances the granularity of semantic search in archived video footage, moving beyond basic attributes like clothing color or height to include more distinctive, behaviorally relevant features. While his citation count of 3 reflects a niche but foundational contribution, the paper’s focus on practical, real-world surveillance challenges—such as identifying individuals of interest in crowded scenes—highlights its applied significance. Pham’s research underscores the importance of integrating fine-grained object detection with human appearance modeling, offering a stepping stone for more robust, context-aware vision systems. His work remains relevant for students and researchers exploring attribute-based person re-identification and automated surveillance analytics.
Research Focus
Key Achievements
Top Papers
- 1