PEDESTRIAN DETECTION

4.3 Analysis of Object Actions and Interactions
The objects are classified into persons and vehicles based on their footage area. The interaction among persons and vehicles can then be analyzed at semantic level as described in [29]. Each object is associated with spatio-temporal interaction potent[r]

Fig. 4. Example of distributed detection scenario
Two problems have to be considered: the design of the decision rule at the FC and the design of the local sensor signal processing strategies. In the case of perfect knowledge of system parameters the design of the decisio[r]

i =1 ( x i − ¯x n) T V − n 1 ( x i − ¯x n)
1 / 2
. (7.4)
Accordingly, those observations with a large Mahalanobis distance are indicated as outliers. Note that masking and swamping effects play an important rule in the adequacy of the Mahalanobis distance as a criterion for outlier detectio[r]

imidazole  Endpoint detection: bipotentiometric detection of by a dedicated pair of Pt electrodes  Reaction:  Reagents: TRANG 3 VOLUMETRIC KARL FISCHER TITRATION  Volumetric KFT reco[r]

Fig. 4. Example of distributed detection scenario
Two problems have to be considered: the design of the decision rule at the FC and the design of the local sensor signal processing strategies. In the case of perfect knowledge of system parameters the design of the decisio[r]

[12] Fukunaga, K., Statistical Pattern Recognition, 2nd ed., Academic Press, San Diego, CA, 1990.
[13] Kelly, E.J. and Forsythe, K.M., Adaptive Detection and Parameter Estimation for Multidimen- sional Signal Models, Technical Report 848, M.I.T. Lincoln Laboratory, April, 1989.
[14] Muirh[r]

Detection and classification arise in signal processing problems whenever a decision is to be made among a finite number of hypotheses concerning an observed waveform. Signal detection algo- rithms decide whether the waveform consists of “noise alone” or “signal masked by noise.” Signa[r]

[12] Fukunaga, K., Statistical Pattern Recognition, 2nd ed., Academic Press, San Diego, CA, 1990.
[13] Kelly, E.J. and Forsythe, K.M., Adaptive Detection and Parameter Estimation for Multidimen- sional Signal Models, Technical Report 848, M.I.T. Lincoln Laboratory, April, 1989.
[14] Muirh[r]

TRANG 1 TỪ VỰNG TIẾNG ANH LỚP 6 CHƯƠNG TRÌNH MỚI UNIT 4, 5, 6 TỪ VỰNG TIẾNG ANH 6 UNIT 4 MY NEIGHBOURHOOD - NƠI TÔI SỐNG high street n phố lớn lamp post n cột đèn đường pedestrian subway[r]

The article presents an advanced driver assistance system (ADAS) based on a situational recognition solution and provides alert levels in the context of actual traffic. The solution is a process in which a single image is segmented to detect pedestrians’ position as well as extract features of pedes[r]

The purpose of this work we propose a complete solution for detecting and removing spots movies based on some perceived feature of the human visual system. The performance of each component is assessed through objective research extensively tested on real video. The perceived quality of the frames h[r]

Baseline drift is the gradual shift in the baseline over the course of one or more runs, as illustrated by the heavy dashed line in Figure 4.4 a . Baseline drift is common with gradient elution because of the difference in detector response (the concentration range over which the detector output is[r]

3. Underwater mines detection using local statistical parameters
The key issue when designing a classification algorithm is to choose the right parameters discriminating the classes of interest. The two main approaches are (i) use of statistical knowledge about the process, (ii) use of ex[r]

+ -Sensor Motor Pain detection Dual pain memory Pain increase Pain decrease - + Stimulation - + ac ti va tio n need Pain detection/goal creation center Reinforcement neuro-transmitter Se[r]

With the rapid development of nanotechnology, the bio-barcode assay (BCA), as a new diagnostic tool, has been gradually applied to the detection of protein and nucleic acid targets and small-molecule compounds. BCA has the advantages of high sensitivity, short detection time, simple operation, low c[r]

mechanism by exploiting ambiguities in the traffic
patterns, network topology, and the IDS architecture.
 The attacker can try to evade the detection mechanism in the sensor. The attacker can try to convince the network IDS by masking the traffic as legitimate. The attacker can also t[r]

222 Chapter 7 • Intrusion Detection Systems
action (usually “alert”) and followed by several arguments. In the newest version (2.0 and higher), you can add multiple lines simply by appending a / (slash) to the end of each line. You can also call other programs using an include stateme[r]

Figure 5 presents a recall (RCL) versus a precision (PRC) plot for the different studied methods. We can notice that the proposed 1-SVM-based sound detection method outper- forms the others. Figures 6 and 7 illustrate the performance of the detection with different MFCC orders. This stud[r]

_ IT WAS CHRISTINA WHO WAS GIVEN A LOT OF FLOWERS BY FANS._ _ IT WAS THE POLICEMAN WHO WAS ASKED FOR DIRECTION TO THE _ _POST OFFICE BY THE PEDESTRIAN._ _ IT WAS HIS HOUSE THAT WAS TA[r]

zigzag ZIGZAG /z'z'/ adjective used to de-scribe a line which turns one way, then the opposite way 쑗_ There are zigzag_ _lines painted at pedestrian crossings to_ _show that cars must n[r]