what are the ways to identify an object by its appearance ?
Answers
Answer:
to identify the texture of it by seeing and by touching it...
Answer:
We propose a novel method for keeping track of multiple objects in provided regions of interest, i.e.
object detections, specifically in cases where a single object results in multiple co-occurring detections
(e.g. when objects exhibit unusual size or pose) or a single detection spans multiple objects (e.g. during
occlusion). Our method identifies a minimal set of objects to explain the observed features, which are
extracted from the regions of interest in a set of frames. Focusing on appearance rather than temporal
cues, we treat video as an unordered collection of frames, and ‘‘unmix’’ object appearances from inaccurate detections within a Latent Dirichlet Allocation (LDA) framework, for which we propose an efficient
Variational Bayes inference method. After the objects have been localized and their appearances have
been learned, we can use the posterior distributions to ‘‘back-project’’ the assigned object features to
the image and obtain segmentation at pixel level. In experiments on challenging datasets, we show that
our batch method outperforms state-of-the-art batch and on-line multi-view trackers in terms of number
of identity switches and proportion of correctly identified objects. We make our software and new dataset publicly available for non-commercial, benchmarking purposes
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