Combined frame- and event-based detection and tracking

  title={Combined frame- and event-based detection and tracking},
  author={Hongjie Liu and Diederik Paul Moeys and Gautham P. Das and Daniel Neil and Shih-Chii Liu and Tobi Delbr{\"u}ck},
  journal={2016 IEEE International Symposium on Circuits and Systems (ISCAS)},
This paper reports an object tracking algorithm for a moving platform using the dynamic and active-pixel vision sensor (DAVIS). It takes advantage of both the active pixel sensor (APS) frame and dynamic vision sensor (DVS) event outputs from the DAVIS. The tracking is performed in a three step-manner: regions of interest (ROIs) are generated by a cluster-based tracking using the DVS output, likely target locations are detected by using a convolutional neural network (CNN) on the APS output to… CONTINUE READING


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 16 references

Human vs. computer slot car racing using an event and frame-based DAVIS vision sensor

2015 IEEE International Symposium on Circuits and Systems (ISCAS) • 2015

4D Flow Visualization with Dynamic Vision Sensors

D. J. Borer
PhD Thesis, ETH Zurich, Zurich, Switzerland, 2014. • 2014

Online Object Tracking: A Benchmark

2013 IEEE Conference on Computer Vision and Pattern Recognition • 2013
View 1 Excerpt

Asynchronous event-based high speed vision for microparticle tracking

C P A C O R E T, R B E N O S M A N, S I E N G, S R ´ E G N I

Similar Papers

Loading similar papers…