AIB 2014-06: Sequence Level Salient Object Proposals for Generic Object Detection in Video

[Thomas Ströder]

The following technical report is available from
http://aib.informatik.rwth-aachen.de:

Sequence Level Salient Object Proposals for Generic Object Detection in
Video
Esther Horbert, Germán Martín García, Simone Frintrop, and Bastian Leibe
AIB 2014-06

In this paper, we propose a novel approach for generating generic object
proposals for object discovery and recognition in continuous monocular
video. Such proposals have recently become a popular alternative to
exhaustive window-based search as basis for classification. Contrary to
previous approaches, we address the proposal generation problem at the
level of entire video sequences instead of at the single image level. We
propose a processing pipeline that starts from individual region
proposals and tracks them over time. This enables to group proposals for
similar objects and to automatically filter out inconsistent regions.
For generating the per-frame proposals, we introduce a novel multi-scale
saliency approach that achieves a higher per-frame recall with fewer
proposals than current state-of-the-art methods. Taken together, those
two components result in a significant reduction of the number of object
candidates compared to frame level methods, while keeping a consistently
high recall.