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Need for Speed: A Benchmark for Higher Frame Rate Object Tracking [article]

Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey
2017 arXiv   pre-print
In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking.  ...  Our benchmark provides an extensive evaluation of many recent and state-of-the-art trackers on higher frame rate sequences.  ...  Contributions: In this paper, we present the Need for Speed (NfS) dataset and benchmark, the first benchmark (to our knowledge) for higher frame rate general object tracking using consumer devices.  ... 
arXiv:1703.05884v2 fatcat:v2ytuby7svfobf3cssiebiew2m

Need for Speed: A Benchmark for Higher Frame Rate Object Tracking

Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey
2017 2017 IEEE International Conference on Computer Vision (ICCV)  
In this paper, we propose the first higher frame rate video dataset (called Need for Speed -NfS) and benchmark for visual object tracking.  ...  Our benchmark provides an extensive evaluation of many recent and state-of-the-art trackers on higher frame rate sequences.  ...  Our dataset fills a need. The need for speed.  ... 
doi:10.1109/iccv.2017.128 dblp:conf/iccv/GaloogahiFHRL17 fatcat:rhouaefzyraf7jqyoa2bjj62xy

BOBBY2: Buffer Based Robust High-Speed Object Tracking [article]

Keifer Lee, Jun Jet Tai, Swee King Phang
2019 arXiv   pre-print
In this work, a novel high-speed single object tracker that is robust against non-semantic distractor exemplars is introduced; dubbed BOBBY2.  ...  For validation, the model was benchmarked on the GOT-10k dataset and on an additional small, albeit challenging custom UAV dataset collected with the TU-3 UAV.  ...  Thus, for feasible object tracking to be performed locally on a typical UAV, it would necessarily need to be both computationally efficient and robust in the aforementioned scenarios.  ... 
arXiv:1910.08263v1 fatcat:jxxg25z7n5eyteelugmazhxd2q

High-Speed Tracking-By-Detection Without Using Image Information

Erik Bochinski, Volker Eiselein, Volker Sikora
2017 Zenodo  
In combination with commonly higher frame rates, this poses a shift in the challenges for a successful tracker.  ...  Tracking-by-detection is a common approach to multi-object tracking. With ever increasing performances of object detectors, the basis for a tracker becomes much more reliable.  ...  In combination with commonly higher frame rates of videos, the requirements for a multi-object tracker in a tracking-by-detection framework drastically changed.  ... 
doi:10.5281/zenodo.1078520 fatcat:t5l4ey3fnzfi3b4dfbpohr7th4

High Speed Tracking With A Fourier Domain Kernelized Correlation Filter [article]

Mingyang Guan, Zhengguo Li, Renjie He, Changyun Wen
2019 arXiv   pre-print
It is challenging to design a high speed tracking approach using l1-norm due to its non-differentiability.  ...  with little sacrifice on tracking speed.  ...  For success rate, an overlap rate o is usually defined to represent the tracking performance for each tracking frame, which indicates the rate between the overlapped areas and the union areas of the predicted  ... 
arXiv:1811.03236v3 fatcat:jq5fsh5refgnxpd25s2pnnge4y

Real-Time Multiple Object Tracking - A Study on the Importance of Speed [article]

Samuel Murray
2017 arXiv   pre-print
In this project, we implement a multiple object tracker, following the tracking-by-detection paradigm, as an extension of an existing method.  ...  By running our model on the Okutama-Action dataset, sampled at different frame-rates, we show that the performance is greatly reduced when running the model - including detecting objects - in real-time  ...  Of course, in certain applications a shorter delay might be necessary, and thus a higher frame-rate would be required.  ... 
arXiv:1709.03572v2 fatcat:adfhseknyregbnlsyrr2lijysq

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking [article]

Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi
2019 arXiv   pre-print
for high-speed object tracking.  ...  Two significant challenges need to be addressed: (1) lack of benchmark datasets including both ANN-oriented (frames) and SNN-oriented (spikes) signal resources; (2) the difficulty in jointly processing  ...  Although rate coding can alleviate this problem, it needs a prohibitive time latency to guarantee performance [32, 33] .  ... 
arXiv:1909.12942v1 fatcat:ptk6d7uh4zaehgrhlfwshowc6q

MultEYE: Monitoring System for Real-Time Vehicle Detection, Tracking and Speed Estimation from UAV Imagery on Edge-Computing Platforms

Navaneeth Balamuralidhar, Sofia Tilon, Francesco Nex
2021 Remote Sensing  
From our experiments, the optimized detector runs at an average frame-rate of up to 29 frames per second (FPS) on frame resolution 512 × 320 on a Nvidia Xavier NX board, while the optimally combined detector  ...  Dedicated object tracking and speed estimation algorithms have been then optimized to track reliably objects from an UAV with limited computational effort.  ...  It was observed to run multi-object tracking at high frame rates [69] .  ... 
doi:10.3390/rs13040573 fatcat:savkzfch4bdf3mp3ae4eatjjyy

Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking [article]

Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang
2022 arXiv   pre-print
However, existing tracking approaches rely on customized sub-modules and need prior knowledge for architecture selection, hindering the tracking development in a more general system.  ...  This paper presents a Simplified Tracking architecture (SimTrack) by leveraging a transformer backbone for joint feature extraction and interaction.  ...  Research Council Grant DP200103223, Australian Medical Research Future Fund MRFAI000085, CRC-P Smart Material Recovery Facility (SMRF) -Curby Soft Plastics, and CRC-P ARIA -Bionic Visual-Spatial Prosthesis for  ... 
arXiv:2203.05328v2 fatcat:xibyi6tfpzgu5o5y22pu2j4ueq

Optical Speed Measurement and Applications [chapter]

Tibor Takacs, Viktor Kalman, Laszlo Vajt
2008 Frontiers in Robotics, Automation and Control  
In order to achieve higher levels of autonomy sophisticated sensors and a sound understanding of the robot and its interaction with the environment is needed.  ...  The tasks involved can be divided to two basic categories; internal tasks involve keeping track of internal dynamic parameters, like speed accelerations, internal states etc.  ...  , we limit the maximal speed measurable as for a given frame rate we might not get overlapping images.  ... 
doi:10.5772/6327 fatcat:3uihd7ragjdzxepsbgpyr6udmy

Experiences in speeding up computer vision applications on mobile computing platforms

Luna Backes, Alejandro Rico, Bjorn Franke
2015 2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)  
In this paper, we investigate ways to speed up demanding CV applications to run faster on mobile devices. We selected KinectFusion (KF) as a representative CV application.  ...  By measuring processor temperature, we found overheating to be the main limiting factor for running such high-performance codes on a mobile device not designed for full continuous utilisation.  ...  frame rates.  ... 
doi:10.1109/samos.2015.7363653 dblp:conf/samos/BackesRF15 fatcat:qg3fucufgzcylhd6nnkboqd46i

Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second

Floris De Smedt, Kristof Van Beeck, Tinne Tuytelaars, Toon Goedeme
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
Many practical applications however often rely on stringent realtime processing speeds combined with high accuracy needs. These demands are contradictory, and usually a compromise needs to be made.  ...  Object detection, and in particular pedestrian detection, is a challenging task, due to the wide variety of appearances.  ...  Instead of a full frame search, we can warp the region of interest and thereby eliminate the need for an entire scale-space search.  ... 
doi:10.1109/cvprw.2013.94 dblp:conf/cvpr/SmedtBTG13 fatcat:mt3pqt54hfes7nc3bi46apgkt4

A KCF-based Incremental Target Tracking Method with Constant Update Speed (2021)

Fan Zhao, Kaidi Hui, Tingting Wang, Zhenzhen Zhang, Yajun Chen
2021 IEEE Access  
With a good balance between tracking accuracy and speed, kernelized correlation filter (KCF)based trackers have now become dominant approaches in the field of online object tracking.  ...  Moreover, reduced-set (RS) expansions are adopted to compress the historical target samples to maintain a constant template update rate.  ...  in the previous frame and current frame in a time series, which is also a problem that the KCF algorithm, as a benchmark framework, has not yet considered.  ... 
doi:10.1109/access.2021.3080308 fatcat:2cudztpqebbhrfdfrz7qhq6zpu

Vision‐based vehicle speed estimation: A survey

David Fernández Llorca, Antonio Hernández Martínez, Iván García Daza
2021 IET Intelligent Transport Systems  
The need to accurately estimate the speed of road vehicles is becoming increasingly important for at least two main reasons.  ...  This paper provides a review of vision-based vehicle speed estimation.  ...  In [91] transfer learning is proposed to fine-tune a vehicle detection model for their specific traffic scenario. Vehicle tracking Speed detection is a multi-frame problem.  ... 
doi:10.1049/itr2.12079 fatcat:cntntyyl5vgz3ipy7f6pvj5k3y

EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera [article]

Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang and Christian Theobalt
2019 arXiv   pre-print
The high frame rate is a critical requirement for capturing fast human motions.  ...  As a result, we can capture fast motions at millisecond resolution with significantly higher data efficiency than using high frame rate videos.  ...  to the desired tracking frame rate divided by the frame rate of the intensity image stream.  ... 
arXiv:1908.11505v1 fatcat:wr36edgfuncpxkl3spr4pbiqcu
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