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Swimming analysis using a SwIMU measuring device
Láznička, Jakub ; Šťastný, Jan (referee) ; Bátorová, Michaela (advisor)
This bachelor thesis deals with the description of the inertial sensor for measuring swimmers.The work contains a description of the possibility of performing swimming performance analyzes. In the practical part, a pilot measurement was performed and a detailed manual was created containing a description of accessories, the measurement process and the methodology of subsequent evaluation. An external database in MS Excel was created to compare the evaluated measurements, used to sort data with the possibility of statistical processing.
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Traffic image sequence classification
Vomela, Miroslav ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
The article introduces a general survey of concepts used in traffic monitoring applications. It describes different approaches for solving particular steps of vehicle detection process. Analysis of these methods was performed. Furthermore this work focuses on the design and realization of complex robust algorithm for real-time vehicle detection. It is based on analysis of video-sequence acquired from static camera situated on highway. Processing consists of many steps. It starts with background subtraction and ends with traffic monitoring results, i.e. average speed, number of cars, level of service etc.
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Recognizing People and Their Activities in Video from Security Cameras
Saloň, Juraj Samuel ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to design and develop a system capable of recognizing the activities of people from surveillance cameras. Special attention is paid to the concept of complex situations or events that are defined by relations between identified objects. The first part surveys state-of-the-art techniques for object recognition, object tracking, and recognition of activities relevant to the realized solution. The second part describes the design and implementation of the devised system. It takes advantage of specific relations among two or more objects that are identified in video recordings, such as "person getting out of the car" or "one or more people met with a person of interest and they left together". Results are evaluated on video data extracted from available datasets and manually annotated. The mean average precision metric (MAP) on the data is reported.
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Comparison of technologies for vehicle passage detection
Mareková, Martina ; Frolka, Jakub (referee) ; Krajsa, Ondřej (advisor)
System for vehicle detection and speed measurement system is an important part in traffic control as well as in providing data for intelligent and automated traffic signs. These technologies are divided into two types: intrusive and non-intrusive methods. Traditional traffic control is based on inductive loops. This method is intrusive and therefore requires intervention under the road and higher maintenance requirements. We can avoid this problem with non-intrusive methods, including video analysis, microwave radars, geomagnetic radars, weighing sensors and laser sensors, but these are more expensive alternatives. By implementing radars we performed measurements on road sections, on the basis of which the output data from microwave, weigh-in-motion sensors and induction loops were displayed. We receive processed and unprocessed output data of measurements from each sensors. For processing of those data is created software solution for graph rendering and direct measurement of the sensor accuracy in comparison with competing technology. The results of the measurements showed that the efficiency of the individually implemented sensors is sufficient for use in traffic control. As well we can consider the implementation of microwave radars and cameras for video analysis as a replacement for the conventional method of induction loops.
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AeroWorks: Visual Identification of Aircraft Flight Regimes
Kardoš, Juraj ; Dittrich, Petr (referee) ; Chudý, Peter (advisor)
This Bachelor thesis deals with the visual identification of an aircraft flight's regimes. It describes the spatial motion of an airplane along with the visualization of flight parameters and also proposes a system for a flight regime visual identification. The system processes the input video on a frame by frame basis in two steps. Initially, the video is being stabilized and the system subsequently proceeds in identification of flight related quantities describing the current flight state. Video stabilization is based on feature points detection and an optical flow calculation. Video frames are transformed in order to achieve sufficient consecutive frames overlap and thus to minimize the parasitic oscillations of the video acquisition system. Identification of values indicated by flight instruments is based on the Hough line transform approach. The thesis also includes a description of an application that analyzes a video from the cockpit of an aircraft and is able to recognize the instrument values displayed on specified flight instruments.
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Recognizing and Classification of Traffic Situations
Zbořil, Jiří ; Musil, Petr (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to identify and classify dangerous situations from surveillance cameras, monitoring traffic. An example of such situations is dangerous standing near by the road and car crash, on which this work focuses. The created system uses object detector, analyzing average images in given interval, K nearest neighbor and K Means algorithm and re-detection of enlarged local area in a frame to select anomaly candidates. Detected objects, that do not belong on the road are eliminated by attaching created road mask. At the very last phase, the interval, together with the classification is determined. Calculated F1 score is 0.645, S4 score 0.535 and precision of classification 80 %.
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Shot Boundary Detection
Klicnar, Lukáš ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
Shot boundary detection is a process of automatically finding the boundaries between shots in a video. This work primarily deals with detection of hard-cuts, but gradual transitions are also considered. At first, fundamental terms of this field are explained, commonly used methods are shortly described. The main part of this work is design and implementation of system for shot boundary detection based on combination of two methods. The first one is comparison of color histograms for adjacent frames. Second approach is based on visual feature tracking. The analysis of behavior of those features is done by estimating their first derivatives. Proposed system was tested on small, manually annotated set of test data, which showed that both features are suitable for this task. Detector proved its ability to find hard-cuts with good precision. It was also able to detect some gradual transitions.
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Event detection in camera records
Smolnikov, Mikhail ; Sikora, Pavel (referee) ; Horváth, Tomáš (advisor)
This bachelor thesis focuses on the problem of detection and classification of moving objects in video sequences. The thesis describes the basic algorithms and methods of image data processing, including an introduction to the use of neural networks. The practical part shows the internal logic of a desktop application that allows users to evaluate their own video sequences for the occurrence of movements. The resulting application speeds up the process of video analysis on a selected device many times over.
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Možnosti zvýšení adaptability a prevence negativních změn v chování u násady jesetera sibiřského (Acipenser baerii)
KODRAS, Marek
The experiment was performed to assess the impact of a modification in feed technology in the intensive rearing of Siberian sturgeon (Acipenser baerii) on the fish behavior. Four feeding regimes were tested in three repetitions: surface feeding during the day (DFSF), surface feeding at night (NFSF), bottom feeding during the day (DFBF), bottom feeding at night (NFBF). Sturgeon behavior was recorded using a video system in experimental observation tank before the application of different feeding regimens at 48th days post-hatching (dph) and every 20 days therafter (68th, 88th and 108th dph). In addition, the effect of five and ten-day starvation on fish behavior was determinated. Five parameters were tested: the total time spent in the lowest 10 and 25 % of the observation tank, the total time spent in the uppermost 10 and 25 % of the observation tank and the total activity. The whole experiment including larval rearing lasted 100 days and videos were analyzed using MATLAB software. Statistical differences were observed among the tested groups during our experiment. Experimental group NFBF at 88th dph showed the highest spending time in the lowest 25 % of the tank. Furthermore, NFBF at 68th and 88th dph displayed the lowest spending time in the uppermost 25 % of tank (only NFSF was not significantly different from NFBF at 68th dph). No statistical differences were observed in the uppermost or the lowest 10 % of the tank after all-day videorecording. After starvation, some differences were observed among the groups, however no clear trend or continuity with the data obtained before the starvation were found. In conclusion, the tested group NFBF showed better preconditions for intensive rearing of sturgeons, which might be subsequently stocked in open waters due to the lowest movement in the uppermost part of the tank (68th and 88th dph) than other tested groups. This could increase survival of the fish in the wild due to lower predation risk.
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