Morphological Change Detection System for Real-Time Traffic Analysis

Anuradha, S.; Karibasappa, K.; Reddy, B. Eswar

doi:10.1007/978-981-10-0287-8_42

Cited by 3 publications

(5 citation statements)

References 5 publications

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“…Interestingly, we found 26.39% of EST-SSRs with ACG/CGT repeat. The ACG/CGT motif is a highly abundant type of trinucleotide repeat in fungi and plants [16,[43][44][45]. This repeat, though less abundant in insects, has also been reported in Pachypeltis micranthus (52 SSRs, 2.91%) [46], Carposina sasakii (619 SSRs, 0.65%) [47], Varroa destructor (2.59%) [48], Rhopalosiphum padi (447 SSRs, 6.01%) [49], and Aphis glycines (7.1%) [39] from varying orders.…”

Section: Discussionmentioning

confidence: 99%

“…SSRs are usually 2-7 base pairs in length and have been found to be very useful for population genetics studies owing to their co-dominant and highly polymorphic nature, with relatively excellent genome coverage [14][15][16]. Agunbiade et al [15] isolated six polymorphic microsatellite loci in M. vitrata and efficiently utilized these markers in the population structure analysis of M. vitrata from Nigeria, Niger, and Burkina Faso.…”

Section: Introductionmentioning

confidence: 99%

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De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer

Mahalle

Bosamia

Chakravarty

et al. 2023

Genes

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Maruca vitrata (Fabricius) is an invasive insect pest capable of causing enormous economic losses to a broad spectrum of leguminous crops. Microsatellites are valuable molecular markers for population genetic studies; however, an inadequate number of M. vitrata microsatellite loci are available to carry out population association studies. Thus, we utilized this insect’s public domain databases for mining expressed sequence tags (EST)-derived microsatellite markers. In total, 234 microsatellite markers were identified from 10053 unigenes. We discovered that trinucleotide repeats were the most predominant microsatellite motifs (61.53%), followed by dinucleotide repeats (23.50%) and tetranucleotide repeats (14.95%). Based on the analysis, twenty-five markers were selected for validation in M. vitrata populations collected from various regions of India. The number of alleles (Na), observed heterozygosity (Ho), and expected heterozygosity (He) ranged from 2 to 5; 0.00 to 0.80; and 0.10 to 0.69, respectively. The polymorphic loci showed polymorphism information content (PIC), ranging from 0.09 to 0.72. Based on the genetic distance matrix, the unrooted neighbor-joining dendrogram differentiated the selected populations into two discrete groups. The SSR markers developed and validated in this study will be helpful in population-level investigations of M. vitrata to understand the gene flow, demography, dispersal patterns, biotype differentiation, and host dynamics.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer

Mahalle

Bosamia

Chakravarty

et al. 2023

Genes

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“…In [1] mathematical morphological technique is used to detect and track the moving vehicle from the real-time traffic video and transmit message to the traffic control station. The experimental results show that the proposed technique can be adopted according to different models of traffic, meteorological conditions and illuminations.…”

Section: Related Workmentioning

confidence: 99%

“…The existence of an automatic traffic detection system will assist in determining the traffic [1]. These systems extract information from the larger traffic issue and help us decide to improve traffic policy [3,4].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Traffic Detection using Horizontal and Vertical Scanning

Chawla¹,

Moghe²

2017

IJARCSSE

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Traffic congestion on city road networks is one of the main issues to be addressed by today's traffic management schemes. Traffic congestion at times leads to delay in emergency services (i.e. Ambulance, Firefighter, Police, etc.) and most of the time causes inconvenience to commuters. In this paper a new traffic detection method is proposed which is based on the horizontal and vertical scanning of video frames to obtain accurate vehicle detection. Traffic congestion is measured in terms of traffic intensity which helps to ascertain whether the traffic at a given point is low, medium or high. The proposed method shows better result as compare to other methods in terms of accuracy.Keywords: Intelligent Traffic management, Emergency Vehicle, Morphological Operations, Horizontal and vertical scanning and video processing. I. INTRODUCTIONWith increase in population and corresponding increase in vehicular traffic leads to road congestion. Such traffic congestion leads to many major problems and challenges in the urban areas and populated cities. This causes wastage of time leading to missing opportunities, frustration and delay in reaching destination.Traffic loads depend heavily on parameters such as time, day, season, weather conditions and unpredictable situations such as accidents, special events or construction activities. If these parameters are not taken into account, the traffic control system will create delays. To solve the problem of congestion, new roads are built. The only disadvantage of making new roads on the facilities is that it makes the environment more congested. So, for that reason, it is necessary to change the system rather than make new infrastructure twice. A traffic control system can solve these problems by continuously detecting and adjusting the timing of traffic signals according to the actual traffic load such a system called as intelligent traffic control system. The advantages of building an intelligent traffic control system is to reduce congestion; operating costs; provide alternative routes for travelers, increase the capacity of the infrastructure.Most urban traffic is controlled by sensors and cameras which needs to be installed on major roads and streets. The existence of an automatic traffic detection system will assist in determining the traffic [1]. These systems extract information from the larger traffic issue and help us decide to improve traffic policy [3,4]. The goal of this current research is to develop an automatic vehicle counting system, which can process videos recorded from stationary cameras over roads e.g. CCTV cameras installed near traffic intersections / junctions and counting the number of vehicles passing a spot in a particular time for further collection of vehicle / traffic data. The paper aims to automate the traffic control system on highways and streets to determine Traffic Density , identify streets, roads in order to count the cars and monitoring of roads. Figure1 shows a sample image of urban traffic.

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“…Prewitt and Sobel are more difficult than Roberts, but are still the basic algorithms. Roberts, Prewitt and Sobel can all be used for real time image processing in industry [25][26][27][28]. LoG and Canny are much difficult than those three, but still commonly used in different aspects [29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Classical Operators and Fuzzy Logic Algorithms for Edge Detection of Panels at Exterior Cladding of Buildings

et al. 2019

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The automated process of construction defect detection using non-contact methods provides vital information for quality control and updating building information modelling. The external cladding in modular construction should be regularly controlled in terms of the quality of panels and proper installation because its appearance is very important for clients. However, there are limited computational methods for examining the installation issues of external cladding remotely in an automated manner. These issues could be the incorrect sitting of a panel, unequal joints in an elevation, scratches or cracks on the face of a panel or dimensions of different elements of external cladding. This paper aims to present seven algorithms to detect panel edges and statistically compare their performance through application on two scenarios of buildings in construction sites. Two different scenarios are selected, where the building façades are available to the public, and a sample of 100 images is taken using a state-of-the-art 3D camera for edge detection analysis. The experimentation results are validated by using a series of computational error and accuracy analyses and statistical methods including Mean Square Error, Peak Signal to Noise Ratio and Structural Similarity Index. The performance of an image processing algorithm depends on the quality of images and the algorithm utilised. The results show better performance of the fuzzy logic algorithm because it detects clear edges for installed panels. The applications of classical operators including Sobel, Canny, LoG, Prewitt and Roberts algorithms give similar results and show similarities in terms of the average of errors and accuracy. In addition, the results show that the minor difference of the average of the error and accuracy indices for Sobel, Canny, LoG, Prewitt and Roberts methods between both scenarios are not statistically significant, while the difference in the average of the error and accuracy indices for RGB-Sobel and Fuzzy methods between both scenarios are statistically significant. The accuracy of the algorithms can be improved by removing unwanted items such as vegetation and clouds in the sky. The evaluated algorithms assist practitioners to analyse their images collected day to day from construction sites, and to update building information modelling and the project digital drawings. Future work may need to focus on the combination of the evaluated algorithms using new data sets including colour edge detection for automatic defect identification using RGB and 360-degree images.

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Morphological Change Detection System for Real-Time Traffic Analysis

Cited by 3 publications

References 5 publications

De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer

De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity in Maruca vitrata (F.), a Legume Pod Borer

Real-Time Traffic Detection using Horizontal and Vertical Scanning

Evaluation of Classical Operators and Fuzzy Logic Algorithms for Edge Detection of Panels at Exterior Cladding of Buildings

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