Collaborative strategy for visual object tracking
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4633-x
Abstract: Adaptively learning the difference between object and background, discriminative trackers are able to overcome the complex background problem in visual object tracking. However, they are not robust enough to handle the out-of-plane rotation of object,… read more here.
Keywords: visual object; object tracking; tracker; part based ... See more keywords
Learning discriminative visual elements using part-based convolutional neural network
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.07.059
Abstract: Abstract Mid-level element based representations have been proven to be very effective for visual recognition. This paper presents a method to discover discriminative mid-level visual elements based on deep Convolutional Neural Networks (CNNs). We present… read more here.
Keywords: part; convolutional neural; level; part based ... See more keywords
Part-Based Background-Aware Tracking for UAV With Convolutional Features
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DOI: 10.1109/access.2019.2922703
Abstract: In recent years, visual tracking is a challenging task in UAV applications. The standard correlation filter (CF) has been extensively applied for UAV object tracking. However, the CF-based tracker severely suffers from boundary effects and… read more here.
Keywords: appearance model; part; background aware; aware tracking ... See more keywords
Multi-Scale Part-Based Syndrome Classification of 3D Facial Images
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DOI: 10.1109/access.2022.3153357
Abstract: Identification and delineation of craniofacial characteristics support the clinical and molecular diagnosis of genetic syndromes. Deep learning (DL) frameworks for syndrome identification from 2D facial images are trained on large clinical datasets using standard convolutional… read more here.
Keywords: part; syndrome classification; facial images; work ... See more keywords
Weakly Supervised Part-Based Method for Combined Object Detection in Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3179026
Abstract: Deep learning methods have reached considerable achievement on remote sensing object detection in recent years. However, most methods are designed for single object detection, such as vehicles and ships, and have limited detection capabilities for… read more here.
Keywords: remote sensing; detection; combined object; object detection ... See more keywords
PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2020.2999445
Abstract: The block-based representation learning method has been proven to be a very effective method for person reidentification (Re-ID), but the features extracted by the existing block-based approach tend to have a high correlation among different… read more here.
Keywords: person; based nondirect; nondirect coupling; person reidentification ... See more keywords
Hierarchical Generation of Human Pose With Part-Based Layer Representation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3108023
Abstract: Human pose transfer has been becoming one of the emerging research topics in recent years. However, state-of-the-art results are still far from satisfactory. One main reason is that these end-to-end methods are often blindly trained… read more here.
Keywords: representation; human pose; based layer; part based ... See more keywords
A Cascaded Part-Based System for Fine-Grained Vehicle Classification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2017.2749961
Abstract: Vehicle make and model recognition (VMMR) has become an important part of intelligent transportation systems. VMMR can be useful when license plate recognition is not feasible or fake number plates are used. VMMR is a… read more here.
Keywords: part; system; vehicle; fine grained ... See more keywords
Reliable part-based long-term tracking using multiple correlation filters
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DOI: 10.1117/1.oe.60.2.023107
Abstract: Abstract. Most visual trackers focus on short-term tracking. The target is always in the camera field of view or slight occlusion (OCC). Compared with short-term tracking, long-term tracking is a more challenging task. It requires… read more here.
Keywords: term tracking; term; correlation filters; long term ... See more keywords
Recurrently exploiting co-saliency of target for part-based visual tracking
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-019-0609-5
Abstract: Visual tracking in condition of occlusion has been a challenging task over years. Recently, part-based algorithms have made great progress in handling occlusion. However, the existing part-based methods neglect different importance between central parts and… read more here.
Keywords: visual tracking; part; exploiting saliency; target ... See more keywords