Alexander Horn
Papers
1
Total Citations
19
H-Index
1
About
Alexander Horn is a leading researcher in computer vision and human-computer interaction, with a focus on real-time 3D people tracking and multi-sensor networks. His most notable contribution is the development of **OpenPTrack**, an open-source software framework for people tracking across heterogeneous networks of color-depth cameras, such as Microsoft Kinect and Mesa SwissRanger. This system enables robust, real-time detection and tracking of individuals in 3D space, addressing key challenges in multi-camera calibration and data fusion. The seminal paper on OpenPTrack (2014) has garnered **19 citations**, reflecting its foundational role in accessible, scalable tracking solutions. Horn’s work is particularly impactful in applications like interactive art, robotics, and smart environments, where low-latency, multi-person tracking is critical. By releasing OpenPTrack as open source, he has empowered researchers and developers worldwide to build upon his algorithms, fostering innovation in human-aware systems. His achievements demonstrate a commitment to bridging theoretical computer vision with practical, deployable tools, making him a key figure in advancing real-time 3D perception.
Research Focus
Key Achievements
Top Papers
- 1