Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hide and Seek tracker: Real-time recovery from target loss   In this paper, we examine the real-time recovery of a video tracker from a
target loss, using information that is already available from the original
tracker and without a significant computational overhead. More specifically,
before using the tracker output to update the target position we estimate the
detection confidence. In the case of a low confidence, the position update is
rejected and the tracker passes to a single-frame failure mode, during which
the patch low-level visual content is used to swiftly update the object
position, before recovering from the target loss in the next frame.
Orthogonally to this improvement, we further enhance the running average method
used for creating the query model in tracking-through-similarity. The
experimental evidence provided by evaluation on standard tracking datasets
(OTB-50, OTB-100 and OTB-2013) validate that target recovery can be
successfully achieved without compromising the real-time update of the target
position.

15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga