Power Pole Detection Based on Graph Cut

Cheng, Wengang; Song, Zhengzheng

doi:10.1109/cisp.2008.440

Cited by 26 publications

(21 citation statements)

References 6 publications

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“…Several researchers have applied computer vision techniques for tower detection and segmentation in aerial images [13], [14], [15], [16], [17]. Since towers are usually linear structures, most approaches are based on detecting lines in an image.…”

Section: Introductionmentioning

confidence: 99%

Towards autonomous detection and tracking of electric towers for aerial power line inspection

Martínez¹,

Sampedro²,

Chauhan³

et al. 2014

2014 International Conference on Unmanned Aircraft Systems (ICUAS)

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This paper presents an approach towards autonomous aerial power line inspection. In particular, the presented work focuses on real-time autonomous detection, localization and tracking of electric towers. A strategy which combines classic computer vision and machine learning techniques, is proposed. A generalized detection and localization approach is presented, where a two-class multilayer perceptron (MLP) neural network was trained for Tower-Background classification. This MLP is applied over sliding windows for each camera frame until a tower is detected. The detection of a tower triggers the tracker. A hierarchical tracking methodology, especially designed for tracking towers in real-time, is presented. This methodology is based on the Hierarchical Multi-Parametric and Multi-Resolution Inverse Compositional Algorithm [1], and is proposed to be used for tracking and maintaining the tower in the field of view (FOV). The proposed strategy, which is the combination of the tower detector and the tracker, is evaluated on videos from several real manned helicopter inspections. Overall, the results show that the proposed strategy performs very well at detecting and tracking various types of electric towers in diverse environmental settings.

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Section: Introductionmentioning

confidence: 99%

Towards autonomous detection and tracking of electric towers for aerial power line inspection

Martínez¹,

Sampedro²,

Chauhan³

et al. 2014

2014 International Conference on Unmanned Aircraft Systems (ICUAS)

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“…Graph cut for power pole detection is the latest technique proposed by Cheng and Song [5]. Straight line detection is used to find power lines and determine the rough power pole region.…”

Section: Introductionmentioning

confidence: 99%

Automatic detection of electricity pylons in aerial video sequences

Tilawat

Theera-Umpon

Auephanwiriyakul

2010

2010 International Conference on Electronics and Information Engineering

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Automatic power transmission line inspection with aerial video surveillance requires that the vehicle-mounted camera can automatically locate electricity pylons. In this paper, a new approach for locating electricity pylons within video sequences is proposed. Straight lines in each video frame are extracted with a two-dimensional separable infinite impulse response (IIR) filter and the Hough transformation. A technique for selection of lines representing the electricity pylons is also proposed. The experimental results from a set of real-world video images are shown in term of the receiver operating characteristic (ROC) curve to verify the algorithm's detection performance. The ROC curve shows that the proposed algorithm performs very well and can very much help in the automatic electricity pylon detection system.

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“…Some researchers have also focused on detection and segmentation of electric towers in the images [1][2][3][4][5]. Several authors apply straight line segment extraction for tower detection or localization [1,2,4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Several authors apply straight line segment extraction for tower detection or localization [1,2,4,5]. Other authors then apply different segmentation approaches to extract the complete tower from the image: e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Other authors then apply different segmentation approaches to extract the complete tower from the image: e.g. a template matching approach is used in [1]; graph-cut [6] based segmentation is used in [4]; a rule-based, as well as watershed segmentation [7] is used in [2]. Golightly and Jones [3] presented a different approach from the state of art where, instead of lines, the corners were DOI: 10.1051/ , 0 (2017) 710003010 considered the key identifying features of tower.…”

Section: Introductionmentioning

confidence: 99%

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Detection for Power line Inspection

Han¹,

Wang²

2017

MATEC Web Conf.

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Abstract. Power line inspection is very important for electric company to keep good maintenance of power line infrastructure and ensure reliable electric power distribution. Research efforts focus on automating the inspection process by looking for strategies to satisfy all kinds of requirements. Following this direction, this paper proposes a learning approach for all kinds of detecting problems, where aggregate channel features are used to train the boost classifier. Adopting the sliding window paradigm, the electric tower, insulator and nest can be located very fast. The main advantage of this approach is its efficiency and accuracy for processing huge quantity of image data. Obtaining highly encouraging results shows that it is really a promising technique.

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Power Pole Detection Based on Graph Cut

Cited by 26 publications

References 6 publications

Towards autonomous detection and tracking of electric towers for aerial power line inspection

Towards autonomous detection and tracking of electric towers for aerial power line inspection

Automatic detection of electricity pylons in aerial video sequences

Detection for Power line Inspection

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