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Image Segmentation Using Signed Pressure Force Based Active Contour Model

Sagar Chouksey, Mayur Ghadle, Shreya Sharma, Rohan Puranik
2013 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
First, a new region-based signed pressure force (SPF) function is proposed, which can efficiently stop the contours at weak or blurred edges.  ...  A novel signed pressure force (SPF) based active contour model (ACM) is proposed in this work.  ...  A new region-based signed pressure force (SPF) function is proposed, which can efficiently stop the contours at weak or blurred edges.  ... 
doi:10.24297/ijct.v12i1.3364 fatcat:xtbo6vyiy5d2tnsmlytbxamz5a

Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification

Zhanwen Liu, Chao Shen, Xing Fan, Gaowen Zeng, Xiangmo Zhao
2020 IET Intelligent Transport Systems  
To address these problems, this study proposes a region-based deep convolutional neural network (CNN) framework for traffic sign detection and classification.  ...  Although computer vision is widely utilised in traffic sign detection, detection and recognising traffic signs globally remains a great challenge due to the variety of sign types, scale-variance and geometric  ...  Conclusion In this work, we have focused on traffic sign detection and classification task and proposed a novel two-stage detection framework based on deep learning.  ... 
doi:10.1049/iet-its.2020.0217 fatcat:d3vygu2c4jgnflxedkoagba3za

GIS-Assisted Object Detection and Geospatial Localization [chapter]

Shervin Ardeshir, Amir Roshan Zamir, Alejandro Torroella, Mubarak Shah
2014 Lecture Notes in Computer Science  
In this paper, we propose a method for improving object detection using a set of priors acquired from GIS databases.  ...  We also perform object detection in the query image (e.g., using DPM) and obtain a set of candidate bounding boxes for the objects.  ...  [14] use geographic and geometric information for detecting vehicles using a set of viewpoint-aware detectors.  ... 
doi:10.1007/978-3-319-10599-4_39 fatcat:yqylum6jxnahdn3rexmbs7f6mi

A new deformable model using level sets for shape segmentation

Ning He, Peng Zhang, Ke Lu
2009 Journal of Electronics (China)  
In this paper, we present a new deformable model for shape segmentation, which makes two modifications to the original level set implementation of deformable models.  ...  The proposed method in this paper possesses an inherent property to detect gaps and holes within the object with a single initial contour and also does not require specific initialization.  ...  To understand the geometric meaning of the energy ( ), where g is the edge detection function as expressed in Eq.( 6 ).  ... 
doi:10.1007/s11767-008-0018-7 fatcat:pw24utoan5ch5cyimnuzibi3uq

Computer Vision Systems for "Context-Aware" Active Vehicle Safety and Driver Assistance [chapter]

Pinar Boyraz, Xuebo Yang, John H. L. Hansen
2011 Digital Signal Processing for In-Vehicle Systems and Safety  
element of line or disk; an example of resultant image is given in Fig.7 for a road scene containing stop signs.  ...  First, the road probability image updates the geometric road model for each frame and runs simultaneously with lane detection.  ... 
doi:10.1007/978-1-4419-9607-7_15 fatcat:ew343vav2ndb5mi2idbu2itnxa

A Shape Detection Method Based on the Radial Symmetry Nature and Direction-Discriminated Voting

Gang Wu, Weijie Liu, Xiaohui Xie, Qiang Wei
2007 2007 IEEE International Conference on Image Processing  
Multiple shapes including circles, regular and non-regular polygons can be detected under a general framework.  ...  This paper describes a new method for shape detection based on the radial symmetry nature and directiondiscriminated voting.  ...  of targets Correct detection False detection Down-triangle (stop sign in daytime) 109 98% 13 Down-triangle (stop sign in nighttime) 59 86% 10 Pentagon (cross- walking sign) 267 97%  ... 
doi:10.1109/icip.2007.4379548 dblp:conf/icip/WuLXW07 fatcat:rdhv7knqt5bmthfjspfuzfmr6i

Dual Approaches for Elliptic Hough Transform: Eccentricity/Orientation vs Center Based [chapter]

Philippe Latour, Marc Van Droogenbroeck
2019 Lecture Notes in Computer Science  
For this scenario, authors first reduce the dimension of the 5D EHT by means of some geometrical observations, and then apply a simpler HT.  ...  It appears that, for both forms, the locus of the ellipse parameters is a line in a 5D space. With this framework, we can split the EHT into two steps.  ...  The direct form of the framework is, as far as we now, a new approach to reduce the dimension and solve the problem.  ... 
doi:10.1007/978-3-030-14085-4_29 fatcat:whvqpot64jcfxhc5l4hint5vri

SYSTEMATIC VISION WITH HAND GESTURE RECOGNITION CONTROL BASED ON SECURED FUSION OF MOMENTS

Amandeep Walia .
2015 International Journal of Research in Engineering and Technology  
This work is focussed on three main issues in developing a gesture recognition system.  ...  Example of dynamic gesture may be just waving a goodbye and example of static gesture may be the stop sign.  ...  In our real life situation, we use hand gestures to communicate with mute and deaf people by using sign languages, to count numbers and to express a feeling like "good bye" or "stop".  ... 
doi:10.15623/ijret.2015.0422007 fatcat:ibvj54fuhnbprixp5kdoafwnmu

Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model

Bin Li, Kan Chen, Lianfang Tian, Yao Yeboah, Shanxing Ou
2013 Computational and Mathematical Methods in Medicine  
The fuzzy energy is used as the motivation power for the evolution of the active contour. (2) A hybrid PMM Model of juxta-vascular nodules combining appearance and geometric information is constructed  ...  The segmentation and detection of various types of nodules in a Computer-aided detection (CAD) system present various challenges, especially when (1) the nodule is connected to a vessel and they have very  ...  Long for their helpful comments and advice which contributed much to this paper. This work is supported by the National Natu-  ... 
doi:10.1155/2013/515386 pmid:23690876 pmcid:PMC3652289 fatcat:fskhpxakjndglelas2guffm3ra

Traffic signal detection and classification in street views using an attention model

Yifan Lu, Jiaming Lu, Songhai Zhang, Peter Hall
2018 Computational Visual Media  
We present a novel framework that utilizes a visual attention model to make detection more efficient, without loss of accuracy, and which generalizes.  ...  Detecting small objects is a challenging task. We focus on a special case: the detection and classification of traffic signals in street views.  ...  [5] adopted this framework for traffic sign detection and classification. Girshick et al.  ... 
doi:10.1007/s41095-018-0116-x fatcat:53wuq3gbivhzzi6ncuaebbbcc4

Joint Mapping and Calibration via Differentiable Sensor Fusion [article]

Jonathan P. Chen, Fritz Obermeyer, Vladimir Lyapunov, Lionel Gueguen, Noah D. Goodman
2018 arXiv   pre-print
The detections were extracted by neural image detectors and classifiers, and we independently triangulate each type of sign (e.g. stop, traffic light).  ...  We test our algorithm on detections of road signs observed by cars with mounted cameras, though in practice this technique can be used for any geo-tagged images.  ...  Acknowledgments We would like to thank Martin Jankowiak, Peter Dayan, Karl Obermeyer for helpful discussions and advice, Felipe Such for help running experiments, and the Pyro team for software support  ... 
arXiv:1812.00880v2 fatcat:sb355u766zfxtmff4ty5d6jjfa

Implementation paper of Traffic Signal Detection and Recognition using deep learning

Nikhil S. Rajguru, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
A real-time automatic sign detection and recognition can help the driver, significantly increasing his/her safety.  ...  Lately traffic sign recognition has got an immense interest lately by large scale companies such as Google, Apple and Volkswagen etc. which is driven by the market needs for intelligent applications such  ...  Using this detected sign system has controlled a robot for now.  ... 
doi:10.17762/turcomat.v12i1s.1760 fatcat:du4clxw6rjdpzkn54u5n3uirqa

3D Building Model Fitting Using A New Kinetic Framework [article]

Mathieu Brédif, Dider Boldo, Marc Pierrot-Deseilligny, Henri Maître
2008 arXiv   pre-print
We introduce a new kinetic framework that hides to its user the combinatorial complexity of determining or maintaining the polyhedron topology, allowing the design of a simple variational optimization.  ...  This new kinetic framework allows the manipulation of a bounded polyhedron with simple faces by specifying the target plane equations of each of its faces.  ...  This fitting seems compulsory for state of the art building reconstruction methods [1, 2, 3] that proceed by first detecting a static set of geometric features like planes, points or lines and then determine  ... 
arXiv:0805.0648v1 fatcat:tkwc4uapmfgghmz6m65732bpfq

Shape-constrained level set segmentation for hybrid CPU–GPU computers

Souleymane Balla-Arabé, Xinbo Gao, Dominique Ginhac, Fan Yang
2016 Neurocomputing  
Using local region statistics and prior shape, we design an effective and local speed function for the LSM, from which we deduce a shape prior based body force for LBM solver.  ...  Using local region statistics and prior shape, we design an effective and local speed function for the LSM, from which we deduce a shape prior based body force for LBM solver.  ...  Another approach for the LBM based level set segmentation is to add a medium between the nodes of the lattice [21] in order to design a stop function for the evolving active contour.  ... 
doi:10.1016/j.neucom.2015.11.004 fatcat:hhe3mgsap5d77pf6o24klxnrq4

KIPPI: KInetic Polygonal Partitioning of Images

Jean-Philippe Bauchet, Florent Lafarge
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
We propose a kinetic approach that brings more flexibility on polygon shape and size. The key idea consists in progressively extending pre-detected line-segments until they meet each other.  ...  Recent works showed that floating polygons can be an interesting alternative to traditional superpixels, especially for analyzing scenes with strong geometric signatures, as man-made environments.  ...  The authors thank Radhakrishna Achanta and Jean-Dominique Favreau for provinding materials for experimental comparisons.  ... 
doi:10.1109/cvpr.2018.00332 dblp:conf/cvpr/BauchetL18 fatcat:ti6pgnssirhxtdpvpjutw5flri
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