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Conference papers
Tracking a Varying Number of People with a Visually-Controlled Robotic Head
Abstract : Multi-person tracking with a robotic platform is one of the cornerstones of human-robot interaction. Challenges arise from occlusions, appearance changes and a time-varying number of people. Furthermore, the final system is constrained by the hardware platform: low computational capacity and limited field-of-view. In this paper, we propose a novel method to simultaneously track a time-varying number of persons in three-dimension and perform visual servoing. The complementary nature of the tracking and visual servoing enables the system to: (i) track multiple objects while compensating for large ego-movements and (ii) visually-control the robot to keep the person-of-interest in the field-of-view. We implement a variational approximation allowing us to effectively solve the inference problem through the use of closed-form solutions. Importantly, this leads to a computationally light system that runs at 10 FPS. The experiments on the NAO-MPVS dataset confirm the importance of using motor information when tracking multiple persons.
Cited literature [24 references]
https://hal.inria.fr/hal-01542987
Contributor : Team Perception <>
Submitted on : Monday, July 31, 2017 - 5:19:53 PM
Last modification on : Thursday, November 19, 2020 - 1:02:24 PM
Contributor : Team Perception <>
Submitted on : Monday, July 31, 2017 - 5:19:53 PM
Last modification on : Thursday, November 19, 2020 - 1:02:24 PM