Robust Visual Tracking via Multilayer CaffeNet Features and Improved Correlation Filtering
IEEE Access, 2019 For problems related to the robust tracking of visual objects in various challenging tracking conditions, a robust visual tracking method based on multilayer convolutional features and correlation filtering is proposed.
Yuqi Xiao, Difu Pan
doaj +1 more source
Paraunitary oversampled filter bank design for channel coding [PDF]
, 2006 Oversampled filter banks (OSFBs) have been considered for channel coding, since their redundancy can be utilised to permit the detection and correction of channel errors.
A Papoulis +22 more
core +2 more sources
Fast and Robust Object Tracking Using Tracking Failure Detection in Kernelized Correlation Filter
Applied Sciences, 2020 Object tracking has long been an active research topic in image processing and computer vision fields with various application areas. For practical applications, the object tracking technique should be not only accurate but also fast in a real-time ...
Jungsup Shin +3 more
doaj +1 more source
Region-filtering Correlation Tracking
CoRR, 2018 Recently, correlation filters have demonstrated the excellent performance in visual tracking. However, the base training sample region is larger than the object region,including the Interference Region(IR). The IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of a tracking model.
Nana Fan, Zhenyu He 0001
openaire +2 more sources
Robust Scale Adaptive Visual Tracking with Correlation Filters
Applied Sciences, 2018 Visual tracking is a challenging task in computer vision due to various appearance changes of the target object. In recent years, correlation filter plays an important role in visual tracking and many state-of-the-art correlation filter based trackers ...
Chunbao Li, Bo Yang
doaj +1 more source
LPCF: Robust Correlation Tracking via Locality Preserving Tracking Validation
Sensors, 2020 In visual tracking, the tracking model must be updated online, which often leads to undesired inclusion of corrupted training samples, and hence inducing tracking failure. We present a locality preserving correlation filter (LPCF) integrating a novel and
Yixuan Zhou +5 more
doaj +1 more source
Multi-target Tracking Algorithm Based on Motion Information Optimized Correl-ation Filtering
Jisuanji kexue yu tansuo, 2021 In multi-target tracking tasks combined with detector detection information, missing detections often lead to some targets missed, target identity tag conversion, etc., thereby reducing tracking accuracy.
MIAO Jiani, YANG Jinlong, CHENG Xiaoxue, GE Hongwei
doaj +1 more source
Separation of multiple signals in hearing aids by output decorrelation and time-delay estimation [PDF]
, 1995 Sensori-neural hearing impaired listeners have difficulty in separating multiple signals or perceiving speech in background noise and hearing aids are widely used to enhance the desired signal.
Bamford, P, Canagarajah, CN
core +2 more sources
Deep Deblurring Correlation Filter for Object Tracking
IEEE Access, 2020 Motion blur is a quite tricky issue in object tracking community. In recent years, many trackers have been explored to address this issue without sensational performance.
Yu Bai +3 more
doaj +1 more source
Comparison of spatial domain optimal trade-off maximum average correlation height (OT-MACH) filter with scale invariant feature transform (SIFT) using images with poor contrast and large illumination gradient [PDF]
, 2015 A spatial domain optimal trade-off Maximum Average Correlation Height (OT-MACH) filter has been previously developed and shown to have advantages over frequency domain implementations in that it can be made locally adaptive to spatial variations in the ...
Alkandri, A +5 more
core +1 more source