[PDF] Top 20 A Robust Visual Tracking Method through Deep Learning Features
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A Robust Visual Tracking Method through Deep Learning Features
... knowledge, learning object’s appearance and predicting its position at the same ...Adaboost method (OAB) in machine learning, this approach combines an ensemble of weak classifiers into a strong ... See full document
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Robust visual tracking via samples ranking
... CNN features extracted from one of the last fully connected (FC) ...deeper features are rich in semantic information, which benefits the tracker to distinguish target from back- ...But visual ... See full document
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A Robust Multi Target Visual Tracking Method using TLD Framework
... tracker, learning, weak detector and strong detector. Before the tracking, it is essential to sample some basic posture of ...The learning module is in charge of estimating the errors of ... See full document
6
An Object Tracking Method Combined Spatio temporal Context Learning with Color Features
... filtering tracking approaches have attracted much attention because of its high-speed and ...in tracking. We propose the usage of color features to construct the object appearance in the STC ...color ... See full document
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Deep learning hashing for mobile visual search
... scheme, deep learning technology [59, 60], also known as deep neural networks, attracts growing interests in the fields of image and video ...search. Deep learning is a ... See full document
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Distractor-aware deep regression for visual tracking
... the features hierarchies. Features in the earlier layers, with higher spatial details, are helpful in precise localization; features in the later layers capture more semantic abstraction and are ... See full document
21
Robust multiple-vehicle tracking via adaptive integration of multiple visual features
... on tracking efficiency and ...in tracking drift, or some information about the vehicle being ...orientation features and the symmetry feature introduced in Section ... See full document
19
Learning Attribute-Specific Representations for Visual Tracking
... specific features via ensemble layers to obtain more discrimi- native representations for the final target/background classifi- ...proposed method achieves favorable performance on the OTB100 dataset ... See full document
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Robust Real-Time Tracking for Visual Surveillance
... ers method described by Collins et al. [8], except that their method works on a pixelwise level, using intensity transi- tion profiles of pixels to classify them as “stationary” or ...This method ... See full document
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A Robust Computational Framework of Deep Learning for Wireless Signal Predictive Classifier
... The deep learning for physical layer is presented in o’shesa ...car tracking with monitor sensors, heterogeneous human activity recognition and user identification with biometric motion analysis with ... See full document
9
Robust Visual Tracking via Appearance Modeling and Sparse Representation
... existing tracking approaches fail to track the target ...a robust visual tracking method based on appearance modeling and sparse ...proposed method exploits two-dimensional ... See full document
8
Deep Learning Based Visual Tracking: A Review
... a robust discriminative deep learning tracker (DLT) by putting more emphasis on effective image representation learned ...image features that are more robust against ...online ... See full document
5
Robust Object Tracking Based on Complementary Feature Fusion and Channel Reliability
... state-of-the-art tracking trackers including the CSK, KCF, Staple, STAPLE_CA, ECO, KCF is the baseline method of ...the tracking algorithm by combining two complementary ...the tracking ... See full document
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A multimodal tempo and beat-tracking system based on audiovisual information from live guitar performances
... beat features are the autocorrelation of the onsets and the onset summation extracted with a noise-robust beat estimation method, called ...The visual beat feature is the distance of the hand ... See full document
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Human-level Moving Object Recognition from Traffic Video
... Deep Learning [5-9] is a new area of machine learning research, which has been introduced with the objective of moving machine learning closer to artificial ...of deep Learning ... See full document
14
Robust Method of Foreground Detection for Object Tracking
... Video change detection or Background Subtraction (BS) is one of the most widely studied topics in computer vision. It is a initial step in video processing and it was useful in many real time applications like video ... See full document
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Recognition of Urban Sound Events using Deep Context-Aware Feature Extractors and Handcrafted Features
... as deep features for each ...short-term features are extracted, due to the fact that the CNN training phase has also taken into consideration the temporal evolution of the audio signal ... See full document
9
Indoor location method of interference source based on deep learning of spectrum fingerprint features in Smart Cyber Physical systems
... fingerprint features effectively is very important to the lo- cation ...matching method pro- posed by Zhang et ...the method is that there are sufficient AP resources in the ...filter method, ... See full document
12
Multiclass Vehicle Detection and Tracking Using Local Visual Features
... and tracking applications play an important role for civilian and military applications such as in highway traffic surveillance control, management and urban traffic ...vehicle tracking, counts, average ... See full document
5
Deep Learning based Pedestrian Detection and Tracking System using Unmanned Aerial Vehicle and Prediction Method
... employing deep learning techniques have been ...of deep neural networks in smart applications was hindered by several shortcomings, such as poor recognition rates, slow processing of large datasets, ... See full document
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