Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

Assignment of Hungarian Algorithm. by Yibin Zhang (1426579)

“…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …”

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Introducing TRECEY: An algorithm for tremor compensation using eye-tracking during multimedia remote controller operation in Parkinson’s disease (PD) by Ritam Ghosh (17122404)

“…In this paper, we introduce TRECEY (TREmor Compensation using EYe-tracking), an algorithm to use eye-tracking data to stabilize the cursor movement of a multimedia remote controller. …”

Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image... by Xiaoke Liu (11388323)

MEE2025-Integrated movement models for individual tracking and species distribution data-Supplement by Frances Buderman (17775255)

“…</i><i>Integrated movement models for individual tracking and species distribution data. …”

Supporting data for “Developing algorithms to optimize recommender system for self-regulated learning promotion in online contexts: a design-based study” by Long Zhang (11129139)

Comparison of tracking results. by Guoqing Zhang (151441)

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Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions. by Owen M. O’Connor (11965460)

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Tracking in challenging conditions. by Weheliye H. Weheliye (22022140)

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Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... by Owen M. O’Connor (11965460)

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Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... by Owen M. O’Connor (11965460)

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Overall framework of our proposed tracking algorithm. by Yi Tao (178829)

Data acquisition on local apiary. by Tomyslav Sledevič (20783469)

Minimal test data set by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. …”

A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

“…(a): The uncorrected raw data, acquired with the tracking algorithm. The sinusoidal lines appear jittery due to the irregular wobble movements of the rotation stage. …”

Visualization of tracking results of SiamFC_TDA algorithm and comparison algorithm on challenging sequences. by Yi Tao (178829)