---
_id: '3715'
abstract:
- lang: eng
text: High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured
environments is essential for robotics and human motion analysis. However, building
a system that can adapt to arbitrary objects and a wide range of lighting conditions
is a challenging problem, especially if hard real-time constraints apply like
in robotics scenarios. In this work, we introduce a method for learning a discriminative
object tracking system based on the recent structured regression framework for
object localization. Using a kernel function that allows fast evaluation on the
GPU, the resulting system can process video streams at speed of 100 frames per
second or more. Consecutive frames in high speed video sequences are typically
very redundant, and for training an object detection system, it is sufficient
to have training labels from only a subset of all images. We propose an active
learning method that select training examples in a data-driven way, thereby minimizing
the required number of training labeling. Experiments on realistic data show that
the active learning is superior to previously used methods for dataset subsampling
for this task.
acknowledgement: |-
This work was funded in part by the EU project CLASS, IST 027978.
Conference Information URL: http://www.optecnet.de/veranstaltungen/2009/09/dagm-2009/
alternative_title:
- LNCS
author:
- first_name: Christoph
full_name: Christoph Lampert
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
- first_name: Jan
full_name: Peters, Jan
last_name: Peters
citation:
ama: 'Lampert C, Peters J. Active structured learning for high-speed object detection.
In: Vol 5748. Springer; 2009:221-231. doi:10.1007/978-3-642-03798-6_23'
apa: 'Lampert, C., & Peters, J. (2009). Active structured learning for high-speed
object detection (Vol. 5748, pp. 221–231). Presented at the DAGM: German Association
For Pattern Recognition, Springer. https://doi.org/10.1007/978-3-642-03798-6_23'
chicago: Lampert, Christoph, and Jan Peters. “Active Structured Learning for High-Speed
Object Detection,” 5748:221–31. Springer, 2009. https://doi.org/10.1007/978-3-642-03798-6_23.
ieee: 'C. Lampert and J. Peters, “Active structured learning for high-speed object
detection,” presented at the DAGM: German Association For Pattern Recognition,
2009, vol. 5748, pp. 221–231.'
ista: 'Lampert C, Peters J. 2009. Active structured learning for high-speed object
detection. DAGM: German Association For Pattern Recognition, LNCS, vol. 5748,
221–231.'
mla: Lampert, Christoph, and Jan Peters. Active Structured Learning for High-Speed
Object Detection. Vol. 5748, Springer, 2009, pp. 221–31, doi:10.1007/978-3-642-03798-6_23.
short: C. Lampert, J. Peters, in:, Springer, 2009, pp. 221–231.
conference:
name: 'DAGM: German Association For Pattern Recognition'
date_created: 2018-12-11T12:04:46Z
date_published: 2009-10-07T00:00:00Z
date_updated: 2021-01-12T07:51:41Z
day: '07'
doi: 10.1007/978-3-642-03798-6_23
extern: 1
intvolume: ' 5748'
month: '10'
page: 221 - 231
publication_status: published
publisher: Springer
publist_id: '2642'
quality_controlled: 0
status: public
title: Active structured learning for high-speed object detection
type: conference
volume: 5748
year: '2009'
...