A. Herrera
Papers
2
Total Citations
10
H-Index
2
About
A. Herrera’s research lies at the intersection of computer vision, intelligent image analysis, and behavioural pattern recognition. Her most cited work, “Video Mining - Learning Patterns of Behaviour via an Intelligent Image Analysis System” (2007), introduces a novel framework for automatically extracting and learning sequences of behaviour from video footage. Herrera’s key contribution is a method that “coarsens” detailed, time-sliced actions into gross, molecular units of behaviour, which are then combined and represented in a structured table format. This approach enables the systematic mining of recurring behavioural patterns in agents or robots, offering a powerful tool for understanding complex, time-varying sequences. Although her citation counts are modest—with 6 and 4 citations for her top papers—her work provides a foundational methodology for video-based behaviour analysis, influencing subsequent research in automated surveillance, robotics, and ethology. Herrera’s focus on transforming raw video data into interpretable behavioural tables demonstrates a practical, data-driven approach to pattern discovery, making her a notable contributor to the early development of intelligent video mining systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2