Object Detection and Tracking using Deep Learning and ...

Vol. 8, No. 6, 2017 Impact of Distributed Generation …

(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 6, 2017 Impact of Distributed Generation on the Reliability

  Generation, Reliability, Distributed, Distributed generation on the reliability

Improving Performance Analysis Of Routing …

(IJARAI) International Journal of Advanced Research in Artificial Intelligence, Vol. 1, No. 2, 2012 49 | P a g e www.ijarai.thesai.org REFERENCES [1] An efficient routing method for Ad hoc Networks by Mohinder Gupta.

  Routing, Ad hoc

Adaptive Equalization Algorithms:An Overview - …

(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No.3, March 2011 62 | P a g e http://ijacsa.thesai.org/ Adaptive Equalization ...

  Advanced, Adaptive, Algorithm

Vol. 8, No. 6, 2017 Security Issues in the Internet of ...

(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 6, 2017 Security Issues in the Internet of Things (IoT): A

  Security, Issue, Things, Internet, Security issues in the internet, Security issues in the internet of things

DUT Verification Through an Efficient and Reusable ...

(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 5, No. 4, 2014 155 | P a g e www.ijacsa.thesai.org …

Multi-Criteria Wind Turbine Selection using …

(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 6, 2017 128 | P a g e www.ijacsa.thesai.org Multi-Criteria Wind Turbine Selection

  Multi, Using, Turbine, Selection, Criteria, Wind, Multi criteria wind turbine selection using, Multi criteria wind turbine selection

Media Content Access: Image-Based Filtering - …

(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 9, No. 3, 2018 415 | P a g e www.ijacsa.thesai.org Media Content Access: Image-Based Filtering

  Content, Filtering

Financial Statement Fraud Detection using Text Mining

Since, in text mining, a sentence is regarded as a set of words and order of words can be changed with no impact on the result of the analysis, therefore syntactical structure of a

  Analysis, Using, Texts, Testament, Financial, Mining, Fraud, Detection, Text mining, Financial statement fraud detection using text mining

Vol. 7 No. 11, 2016 Text Mining: Techniques, Applications ...

sources [3]. Text mining is a multi-disciplinary field based on information retrieval, data mining, machine learning, statistics, and computational linguistics [3]. Figure 1 shows the Venn diagram of text mining and its interaction with other fields. Several text mining techniques like summarization, classifi-

  Texts, Mining, Text mining

Comparison of Intelligent Methods of SOC Estimation for ...

diagram of the lead-acid battery SOC estimation methods based on the proposed neural networks is shown in Fig. 1. Also, SOC at time is defined as shown in (2) by us, to set the

  Comparison, Of soc

BASNet: Boundary-Aware Salient Object Detection

[20] and salient object detection [3]. Our work focuses on the second branch and aims at accurately segmenting the pixels of salient objects in an input image. The results have immediate applications in e.g. image segmentation/editing [53, 25, 11, 54] and manipulation [24, 43], visual tracking [32, 52, 55] and user interface optimization [12].

  Tracking, Object, Detection, Object detection

JOURNAL OF LA FairMOT: On the Fairness of Detection and …

JOURNAL OF LATEX CLASS FILES 1 FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Yifu Zhang , Chunyu Wang , Xinggang Wangy, Wenjun Zeng, Wenyu Liu Abstract—There has been remarkable progress on object detection and re-identification (re-ID) in recent years which are the key components of multi-object tracking.

  Tracking, Object, Detection, Object detection, Object tracking

VEHICLE ACCIDENT DETECTION SYSTEM BY USING GSM …

Tracking of accident is a crucial process in the ... In this project we are using accident detection unit which fitted the vibration sensor in the vehicle. For example, In case of accident, occurs if the car is hit to some other vehicle or an object it create some vibration in that case then the vibration sensor will detect the vibrating ...

  Using, Tracking, Object, Detection

Visual Object Tracking using Adaptive Correlation Filters

Visual Object Tracking using Adaptive Correlation Filters David S. Bolme J. Ross Beveridge Bruce A. Draper Yui Man Lui Computer Science Department Colorado State University Fort Collins, CO 80521, USA bolme@cs.colostate.edu Abstract Althoughnotcommonlyused, correlationfilterscantrack complex objects through rotations, occlusions and other

  Using, Tracking, Object, Object tracking using

OpenCV - Tutorialspoint

OpenCV is a cross-platform library using which we can develop real-time computer vision applications. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. In this tutorial, we explain how you can use OpenCV in your applications. Audience

  Using, Tutorialspoint, Object, Detection, Opencv, Object detection

Face Mask Detection using Machine Learning and Deep …

object detection and face detection. Fig-3- OpenCV We use the OpenCV library to execute infinite loops using our webcam, which detects faces using cascade classifications. The library has over 2000 optimized and advance algorithms for computer vision based machine learning. These algorithms can be used for face detection and

  Using, Object, Detection, Object detection, Detection using

Center-Based 3D Object Detection and Tracking

velocity. In a second stage, it refines these estimates using additional point features on the object. In CenterPoint, 3D object tracking simplifies to greedy closest-point matching. The resulting detection and tracking algorithm is simple, efficient, and effective. CenterPoint achieved state-of-the-art performance on the nuScenes benchmark ...

  Using, Tracking, Object, Detection, Object tracking, Object detection and tracking, Detection and tracking

Object Tracking: A Survey - UCF CRCV

motion, edges, etc., which are commonly used in object tracking. Almost all tracking algorithms require detection of the objects either in the first frame or in every frame. Section 4 summarizes the general strategies for detecting the objects in a scene. The suitability of a particular tracking algorithm depends on object appearances, object

  Tracking, Object, Detection, Object tracking

1 Object Detection in 20 Years: A Survey

object detection forms the basis of many other computer vision tasks, such as instance segmentation [1–4], image captioning [5–7], object tracking [8], etc. From the appli-cation point of view, object detection can be grouped into two …

  Tracking, Object, Detection, Object detection, Object tracking