Real-time tracking based on weighted compressive tracking and a cognitive memory model

B Du, Y Sun, C Wu, L Zhang, L Zhang - Signal Processing, 2017 - Elsevier
… This method takes target tracking as a detection problem … Inspired by human memory
model, we design a database to … The 5 competitor trackers are MULti-Store Tracker (MUSTer) […

An online and flexible multi-object tracking framework using long short-term memory

X Wan, J Wang, S Zhou - … vision and pattern recognition …, 2018 - openaccess.thecvf.com
… -target tracking and confirmed that RNN-based approach can be utilized to learn complex
tracking results of our proposed method on selected MOTChallenge sequence. Our trackers

A memory model based on the Siamese network for long-term tracking

H Lee, S Choi, C Kim - Proceedings of the European …, 2018 - openaccess.thecvf.com
… as the multi-store model, for long term tracking to cope with appearance changes of the …
Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking. In: …

Remember like humans: visual tracking with cognitive psychological memory model

N An, SY Sun, XG Zhao… - International Journal of …, 2017 - journals.sagepub.com
… In this article, we propose a tracker inspired by the cognitive psychological memory …
Multi-store tracker (muster): a cognitive psychology inspired approach to object tracking. In: …

[HTML][HTML] Reliable Memory Model for Visual Tracking

D Ge, R Liu, Y Li, Q Miao - Electronics, 2021 - mdpi.com
Inspired by the aforementioned two observations, we propose an adaptive evaluation …
Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking. In …

Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows

S Liu, S Huang, S Wang, K Muhammad, P Bellavista… - Information …, 2023 - Elsevier
… on cognitive psychology to process the appearance memory of the … Inspired by human
multiple visual cognition, we propose a … in the context of object detection and tracking as follows. …

Multi-object tracking using online metric learning with long short-term memory

X Wan, J Wang, Z Kong, Q Zhao… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
… Table 1 show the quantitative results of our method on … trackers with state-of-the-art
accuracy. As discussed above, our proposed method use two different initialization approaches. …

[HTML][HTML] Multiple-target tracking in human and machine vision

S Kamkar, F Ghezloo, HA Moghaddam… - PLoS computational …, 2020 - journals.plos.org
… a single target MUlti-Store Tracker that can memorize target appearance. This method supports
… Three layers perform object recognition and present a biologically inspired appearance …

Handcrafted and deep trackers: Recent visual object tracking approaches and trends

M Fiaz, A Mahmood, S Javed, SK Jung - ACM Computing Surveys …, 2019 - dl.acm.org
… The Multi-Store tracker (MUSTer) [72] avoids drifting and stabilizes the … The Biologically
Inspired Tracker (BIT) [18] performs tracking like ventral stream processing. The BIT …

Visual object tracking via multi-stream deep similarity learning networks

K Li, Y Kong, Y Fu - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
… In this work, instead of taking single object tracking as a classification problem, we treat it as
… Tao, “Multistore tracker (muster): A cognitive psychology inspired approach to object tracking