This paper describes a technique for counting and classifying vehicles in traffic video surveillance applications. We concentrate on systems requiring rapid deployment built using Wireless Video Sensor Networks. To achieve this, we propose an algorithm that employs a pixel-based Gaussian background modelin...
Using the two methods allows for vehicle counting, tracking, classification, and speed estimation to take place. This then enables the load of each lane ... Y Mei,Yong-Deak Kim - IEICE transactions on fundamentals of electronics, communications and computer sciences. Vol. E84-A, no. 6 被引...
Vehicle Detection, Classification and Counting on Highways - Accuracy EnhancementsIn Australian urban roads, pneumatic tubes are temporarily installed over roads to determine the road usage by vehicles. This is a relatively expensive process and the data cannot be obtained for about two weeks until a...
Vehicle counting and classification is the reporting of the number and types of vehicles using a road, tunnel or bridge. Live traffic count information is used by road and tunnel operators to inform decisions to adjust speed limits, open lanes and operate dynamic pricing. Historical counting and ...
🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API. python opencv data-science machine-learning deep-neural-networks computer-vision deep-learning tensorflow detection image-processing prediction object-detection...
Vehicle classification is accomplished by comparing a vehicle profile with build database. Results elevated are presented and discussed. 展开 关键词: infrared transmitter and receiver vehicle counting vehicle classification side profile DOI: 10.1109/PERVASIVE.2015.7086998 被引量: 1 ...
It is done by performing background subtraction, vehicle segmentation, shadow detection and removal, and vehicle tracking. Further, we apply the results of the above approach to perform vehicle classification and vehicle counting. 展开 关键词: vehicle tracking classification spatiotemporal ...
project the image plane into a common ground plane using an aerial photo or other rectified map as a common reference. Other approaches forego external references and turn to image stitching techniques that seek common features seen in the overlap area of two or more camera views. Typically, ...
In the field of traffic-information acquisition, one pervasive solution is to use wireless sensor networks (WSNs) to realize vehicle classification and counting. By adopting heterogeneous sensors in a WSN, we can explore the potential of using complementary physical information to perform more complicat...
ahmetozlu/vehicle_counting_tensorflow Star898 🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API. pythonopencvdata-sciencemachine-learningdeep-neural-networkscomputer-visiondeep-learningtensorflowdetectionimage-proce...