In this paper we present an unsupervised multi-shot approach based on a patch-based dynamic appearance model. We use deformable graph matching for person re- ...
In this paper we present an unsupervised multi-shot approach based on a patch-based dynamic appearance model. We use deformable graph matching for person re- ...
We propose an extendable re-id framework, which contains two related parts: patch-based metric learning and local salience learning.
We introduce a deformable patch-based model for accommodating pose changes and occlusions. This model combines an appearance term with a deforma- tion cost ...
Person Re-identification with Patch-Based Local Sparse Matching ...
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Abstract. Recently, patch based matching has been demonstrated effectively to address the spatial misalignment issue caused by camera-view changes or human.
This paper proposes a patch-based nearest neighbor mining (PNNM) method. The proposed PNNM utilizes a patch-based feature extraction model to capture patch ...
In this paper, we propose to learn appearance measures for patches that are combined using deformable models. Learning metrics for patches avoids strong.
Based on this observation, a patch-based discriminative feature learning model would be more gen- eralizable and can learn discriminative patch feature among.
Recently, patch based matching has been demonstrated effectively to address the spatial misalignment issue caused by camera-view changes or human pose ...
Person re-identification is a task of matching persons ob- served from non-overlapping camera views based on im- age appearance. It has important applications ...