  An autonomous computer system (such as a robot) typically needs to identify,
locate, and track persons appearing in its sight. However, most solutions have
their limitations regarding efficiency, practicability, or environmental
constraints. In this paper, we propose an effective and practical system which
combines video and inertial sensors for person identification (PID). Persons
who do different activities are easy to identify. To show the robustness and
potential of our system, we propose a walking person identification (WPID)
method to identify persons walking at the same time. By comparing features
derived from both video and inertial sensor data, we can associate sensors in
smartphones with human objects in videos. Results show that the correctly
identified rate of our WPID method can up to 76% in 2 seconds.
