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Balancing Specialization, Generalization, and Compression for Detection and Tracking [article]

Dotan Kaufman, Koby Bibas, Eran Borenstein, Michael Chertok, Tal Hassner
2019 arXiv   pre-print
We propose a method for specializing deep detectors and trackers to restricted settings.  ...  To this end, we propose a novel loss that balances compression and acceleration of a deep learning model vs. loss of generalization capabilities.  ...  Model specialization vs. generalization. We propose a loss that optimizes the balance between specialization, generalization, and compression of our detection and tracking models. 2.  ... 
arXiv:1909.11348v1 fatcat:wyeiokps2nhwxbzdkdagsnvylm

Target-Aware Deep Feature Compression for Power Intelligent Inspection Tracking

Wei Jiang, Zhimin Guo, Huanlong Zhang, Liyun Cheng, Yangyang Tian, Yang Li
2022 Journal of Electrical and Computer Engineering  
This paper presents a target-aware deep feature compression for power intelligent inspection tracking.  ...  Based on this, the deep feature compression model is combined with Siamese tracking framework to achieve real-time and robust tracking.  ...  Inspired by the previously mentioned work, we proposed a target perception deep feature compression method for intelligent detection target tracking.  ... 
doi:10.1155/2022/3161551 fatcat:qvx6bdj3qjdi7oqepvbazg5gli

A Novel Deep Neural Network that Uses Space-Time Features for Tracking and Recognizing a Moving Object

Oscar Chang, Patricia Constante, Andrés Gordon, Marco Singaña
2017 Journal of Artificial Intelligence and Soft Computing Research  
A noise balanced learning method is used to fast train the recognizer with real-world images, giving rise to a simple and yet powerful robotic eye, with a slender neural processor that vigorously tracks  ...  This loop gives rise to an emergent tracking behavior which creates a self-maintain flow of compressed space-time data.  ...  The final result is a slender and yet powerful robotic eye controller that operates with high data compression and vigorously tracks and recognizes the chosen object under generic situations.  ... 
doi:10.1515/jaiscr-2017-0009 fatcat:tzqvym7qwfeahfdrugi4wusl6e

Advances in Pattern Recognition Algorithms, Architectures, and Devices

Mohammad A. Karim
2004 Optical Engineering: The Journal of SPIE  
Over the last decade, tremendous advances have been made in the general area of pattern recognition techniques, devices, and algorithms.  ...  We have had the distinct pleasure of witnessing this remarkable growth as evidenced through their dissemination in the previous Optical Engineering special sections we have jointly edited-  ...  The proposed tracking algorithm is based on the general framework of spatiotemporal segmentation followed by temporal tracking, and is capable of tracking both moving and stationary objects while accommodating  ... 
doi:10.1117/1.1787532 fatcat:ofrtnkbdvrca7oim436irhccrq

Special issue on real-time color image processing

M. Emre Celebi, Bogdan Smolka, Gerald Schaefer
2015 Journal of Real-Time Image Processing  
The special issue continues with three articles on tracking. In ' 'Color Tracking with Contextual Switching,'' Laguzet et al.  ...  The special issue continues with three articles on detection.  ... 
doi:10.1007/s11554-015-0506-6 fatcat:yc65ssxd3vdflasgshooc66yb4

Real-Time and Robust Compressive Background Subtraction for Embedded Camera Networks

Yiran Shen, Wen Hu, Mingrui Yang, Junbin Liu, Bo Wei, Simon Lucey, Chun Tung Chou
2016 IEEE Transactions on Mobile Computing  
Finally, we demonstrated the feasibility of the proposed method by the implementation and evaluation of an end-to-end real-time embedded camera network target tracking application.  ...  For a background subtraction method to be useful in embedded camera networks, it must be both accurate and computationally efficient because of the resource constraints on embedded platforms.  ...  The value of m is chosen to be 8 for CS-MoG-Balance, CS-MoG-Unbalance, PCA-MoG, DCT-MoG, RS-MoG and Mean-MoG. We first evaluate the accuracy of the foreground block detections.  ... 
doi:10.1109/tmc.2015.2418775 fatcat:qydrttdbofdippczstc33mnk7a

Threat Detection and Investigation with System-level Provenance Graphs: A Survey [article]

Zhenyuan Li, Qi Alfred Chen, Runqing Yang, Yan Chen
2020 arXiv   pre-print
In this paper, we firstly introduce the basic concepts about system-level provenance graph and proposed typical system architecture for provenance graph-based threat detection and investigation.  ...  Security practitioners urgently need better tools to describe and modelling attacks for defence.  ...  techniques try compressing provenance logs via web graph compression algorithm [51] or detecting common subgraphs and compressing them [52] .  ... 
arXiv:2006.01722v3 fatcat:ofx2geac3rggvo5kz3zenbmpvq

Information Mining from Multimedia Databases

Ling Guan, Horace HS Ip, Paul H Lewis, Hau San Wong, Paisarn Muneesawang
2006 EURASIP Journal on Advances in Signal Processing  
In the next paper, Fonseca and Nesvadba introduce a new technique for face detection and tracking in the compressed domain.  ...  Based on the extracted motion vector field, these algorithms can infer the correct camera motion, allow motion detection within a limited region of interest for the purpose of object tracking, and perform  ...  In the next paper, Fonseca and Nesvadba introduce a new technique for face detection and tracking in the compressed domain.  ... 
doi:10.1155/asp/2006/49073 fatcat:louxnv5c5bggrdeyvjw6qavi4m

IEEE Access Special Section Editorial: Mission-Critical Sensors and Sensor Networks (MC-SSN)

Qilian Liang, Tariq S. Durrani, Jinhwan Koh, Jing Liang, Yonghui Li, Xin Wang
2021 IEEE Access  
Algorithms are sought for fused and/or coherent cross-platform radio frequency (RF) sensing.  ...  This Special Section on mission-critical sensors and sensor networks aimed to publish the most recent results in theories and methods of sensor design, networking, sensing, information management, and  ...  once (YOLO) for WCB detection.  ... 
doi:10.1109/access.2021.3068830 fatcat:mcmdtikg2vfqvokgu7pnm6xofq

Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks

Shi-Kuan Liao, Kai-Jay Lai, Hsiao-Ping Tsai, Chih-Yu Wen
2016 Sensors  
The simulation results show that compared to conventional schemes, the proposed data processing scheme has a balanced system performance in terms of tracking accuracy, data size for transmission and energy  ...  A two-level hierarchical network topology is adopted for energy-efficient target tracking with information compression.  ...  Thus, a hybrid static/dynamic clustering scheme is applied to achieve distributed target detection and tracking.  ... 
doi:10.3390/s16060937 pmid:27338417 pmcid:PMC4934362 fatcat:y3jdh4mkyndb3ozfjcp5vrpm3e

Special Section on Distributed Camera Networks: Sensing, Processing, Communication, and Implementation

Rama Chellappa, Wendi Heinzelman, Janusz Konrad, Dan Schonfeld, Marilyn Wolf
2010 IEEE Transactions on Image Processing  
Kathy Jackson, for their leadership and support of this Special Section.  ...  Optimization is achieved by minimizing the power-rate-distortion characteristics of the video sensor, thus, relying on adaptive sensing to reach an optimal balance between sensing, compression, and transmission  ... 
doi:10.1109/tip.2010.2063650 pmid:20865818 fatcat:omnidlz3nvcojlebyqdxq3cadm

Data encoding efficiency in binary strip detector readout

M Garcia-Sciveres, X Wang
2014 Journal of Instrumentation  
Different level efficiencies are defined to include context information and engineering properties needed for reliable transmission, such as DC-balance.  ...  A prescription to calculate the minimum number of bits needed for binary strip detector readout is presented.  ...  Grillo and J. Agricola for helpful comments.  ... 
doi:10.1088/1748-0221/9/04/p04021 fatcat:tsvpd7pwa5bphkpwunwt2njbte

The Future of Hyperspectral Imaging

Stefano Selci
2019 Journal of Imaging  
Papers showing advances on more general topics include video approach for HSI dynamic scenes, localization of plant diseases, new methods for the lossless compression of HSI data, the fusing of multiple  ...  multiband images, and mixed modes of laser HSI imaging for sorting and quality controls.  ...  Acknowledgments: The Guest Editor would like to acknowledge the time and contributions of the authors (both successful and unsuccessful) who prepared papers for this Special Issue.  ... 
doi:10.3390/jimaging5110084 pmid:34460507 fatcat:7hsqcmc3rvdkvejemmvp45mwzm

Real Time Motion Detection using Dynamic Camera

Mayuri Konde, Manasi Chaudhari, Vikas Yadav, Vidya Kadam
2015 International Journal of Computer Applications  
Nowadays, security of valuable and secret assets is very important for large organisation companies.  ...  High level surveillance system for security is implemented to overcome this limitations and errors.  ...  CAMERA MOTION ESTIMATION In voting based mechanism image processing technique is used for motion estimation and edge detection. Image is necessary in tracking, detecting and recognition applications.  ... 
doi:10.5120/19990-1651 fatcat:oocilojyjbg2hbq7wgm3zdotlu

Page 4408 of Psychological Abstracts Vol. 88, Issue 11 [page]

2001 Psychological Abstracts  
Thresholds for the detection of sinusoidal amplitude modulation (AM) of a sinusoidal carrier were measured using a 3-alternative forced-choice 3-down 1-up procedure tracking the 79.4% point on the psychometric  ...  For low modulation rates, modulation detection thresholds for the hearing-impaired Ss tested at 80 dB SPL.  ... 
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