The invention discloses a video-based detection and recognition system and a method of vehicles. The system comprises a target characteristic database module, a moving target detection module and a vehicle recognition module. A vehicle sample target characteristic database is built to store data by virtue of the target characteristic database module. After a moving target zone is detected by the moving target detection module, the vehicle recognition module builds a search window and recognizes vehicles. The system and the method resolve the technical problems of poor vehicle distinguishing capability and low distinguishing accuracy of the video-based vehicle detection under the condition of obvious background movement, vehicle adhesion, vehicle occlusion and the like in the prior art. The video-based detection and recognition system and the method of the vehicles have the advantages of excellent vehicle distinguishing capability and high accuracy.

Video-based detection and recognition system and method of vehicles

The invention discloses a method for detecting a seat state in a meeting place. The method comprises the following steps of: pretreating; roughly classifying seats; finely classifying the seats; and correcting a result. The method can be specifically described in the following steps of: obtaining a positional region of each seat for each frame of image of a given video sequence in a manual calibration method; judging whether the seat is a full empty seat which is not shielded by any object by using a trained rough classifier for each seat region; judging whether the seat is occupied by using a trained fine classifier for the remaining seats which are suspected to be occupied; and filtering by using detection results of front and rear multiple frames for the detection result of each frame and correcting a less amount of error detection by using movement information of the seat in a period of time, thereby obtaining a final stable detection result. According to the method, whether the seat is occupied is determined without detecting a person, so that the complexity of the algorithm can be obviously reduced, and the speed and the accuracy for detection are improved; and the method can be widely applied to an intelligent visual monitoring system and a meeting place intelligent service system.

Method for detecting seat state in meeting place based on cascade structure

The invention discloses a real-time video based vehicle detecting and tracking method. The method includes S101, acquiring an initial sample set; S102, training an initial classifier; S103, iterating a training classifier; S104, generating a vehicle candidate area; S105, confirming and tracking vehicles; S106, counting traffic flowrate; S107, performing algorithm interaction. The real-time video based vehicle detecting and tracking method has the advantages that the vehicles appearing in a real-time video can be detected and tracked stably, the traffic flowrate can be counted, high robustness, adaptability to noise, illumination and weather changes and a certain adaptability to shielding are achieved, and the method is high in processing speed and accuracy and capable of meeting operation requirements of a real-time system.

Real-time video based vehicle detecting and tracking method

A method for utilizing multiple detectors to conduct pedestrian detection on video images of scene change comprises the steps of (A) respectively obtaining scene background model of each scene of multiple scenes and respectively training a pedestrian detector of each scene; (B) establishing corresponding relation sets of scene background models and pedestrian detectors; (C) obtaining the video images of scene change and dividing the video images into multiple video clips; (D) obtaining clip background model of each video clip in the multiple video clips and using the pedestrian detectors determined scene based on the background models of the video clips to detect pedestrians in each video clip. By means of the method, pedestrian recognition rate during scene change can be effectively improved, and labor cost is reduced.

Method for utilizing multiple detectors to conduct pedestrian detection on video images of scene change

The invention relates to an infrared image vehicle detection method based on auxiliary road information and significance detection According to the method, at first, a gauss pyramid is used for carrying out background evaluation on a source image, and high-frequency information obtained by subtracting a background evaluation image from the source image comprises targets and background clutter; OTSU threshold segmentation is carried out on the source image to obtain a binary image to serve as estimation of the road information; an interest area can be obtained through collation operation of the high-frequency information and the road information; the significance detection is carried out on the center and the peripheral area of the interest area; track relevance is carried out on the candidate targets, and therefore the vehicle targets can be well extracted

Infrared image vehicle detection method based on auxiliary road information and significance detection

The invention discloses a method and a system for low-altitude ground vehicle detection and motion analysis, in which a positive sample and a negative sample are captured in a video frame in advance. The method comprises the follow steps of: performing circuit training on a training sample according to characteristic blocks divided by the training sample to obtain a weak classifier of each regionin each cell gradient direction of the training sample; combining the weak classifiers to obtain a strong classifier corresponding to each cell; taking output values of the all the strong classifiersas feature vectors, training to obtain a support vector machine classifier, detecting the vehicle by using the support vector machine classifier, and marking an area as a vehicle area when the vehicle is detected in the area; calculating color space similarity between the vehicle area and an image area scanned by a scanning window in neighboring image frames; and comparing the space color similarity to obtain the motion trail of the same vehicle, and performing motion analysis. The method can improve accuracy rate of low-altitude ground vehicle detection, and also can improve accuracy of vehicle motion analysis.

Method and system for low-altitude ground vehicle detection and motion analysis

The invention provides a vehicle detection method and a system. The method comprises the following steps: obtaining a feature graph of an input video image, wherein the feature graph comprises a color feature graph, a direction feature graph and a motion feature graph; calculating the feature value corresponding to each pixel point in the feature graph and integrating the feature values to obtainthe significant value corresponding to each pixel point; obtaining a significant area in accordance with the position of the pixel point corresponding to the maximum value in the significant value and integrating the significant area to obtain a vehicle candidate area; and detecting vehicles in the vehicle candidate area through a classifier trained in advance according to a sample. The vehicle detection method and the system obtain the vehicle candidate area through the feature analysis in color, direction and motion on the premise of ensuring the real-time demands and have high detection rate and low false alarm rate.

Vehicle detection method and system

A device for detecting vehicles by overlooking comprises a translation unit, a statistical unit, a calculation unit and a classification unit; wherein, the translation unit is used for translating a first frame vehicle image and an adjacent second frame vehicle image thereof to coincide in a world coordinate system; the statistical unit is used for respectively obtaining the candidate areas of thevehicles in the first frame vehicle image and the second frame vehicle image; the calculation unit is used for carrying out image difference on the candidate areas of the vehicles and pixel areas correspondingly coinciding with the candidate areas to obtain the candidate areas of the moving vehicles in the second frame vehicle image relative to the first frame vehicle image; the classification unit is used for classifying the candidate areas of the moving vehicles according to a classifier obtained through specimen training to detect the areas of the moving vehicles in the second frame vehicle image relative to the first frame vehicle image. The device has high detection rate and low misstatement rate under the premise of ensuring the requirement of real-time.

Device and method for detecting vehicles by overlooking

The invention discloses a method for detecting pedestrians under changing scenes, which comprises the steps of: obtaining a corresponding cascading classifier by using data training of a first scene; acquiring less sample data of a second scene which is newly obtained after scene changing and assisting the cascading classifier for optimizing so as to enable the optimized cascading classifier to adapt to the second scene; and detecting the pedestrians of the second scene by using the optimized cascading classifier. The invention can realize rapid and accurate pedestrian detection under the changing scenes.

Method for detecting pedestrian under changing scenes

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Papers

Method and system for low-altitude ground vehicle detection and motion analysis

Vehicle detection method and system

Device and method for detecting vehicles by overlooking

Method for detecting pedestrian under changing scenes