... background reconstruction, moving objects detectionandtargettracking Additive minimax similarity function R for image A, N1 × N size, with elements aij and image B, N1 × N size, with elements ... Conference Control and Communications (SIBCON 2007), Tomsk, April 20-21 (2007) 120 Y Chen, C Han, X Kang and M.Wang, “Background Information Fusion and its Application in Video TargetTracking Proc ... Campadelli, D.Cozzi and R Lanzarotti A simple and robust method for moving target tracking, Proceedings of the International Conference Signal Processing, Pattern Recognition and Applications (SPPRA2002),...
... secondary radar performance anddetection of targets of variable radar cross-sections and mobility in Chapter I understand during my years of engineering practice and teaching that many readers ... Signal-peak detection 10.1 Signal processing 10.2 Peak detection 10.3 Matched filter 10.4 Summary Part IV Estimation andTracking 11 Parameter estimation and filtering ... and performance curves The book has been written with science and engineering in mind, so that it should be more useful to science and communications professionals and practising electrical and...
... 5.3 Tracking Targets The optimized configurations for both PhonySIFT and PhonyFerns from the last sections were used to test robustness on seven different tracking targets (see Fig 5) in stand-alone ... the first frame and then hands over tracking to the PatchTracker until it loses the target Fig shows a typical good frame for each test, the first frame when tracking degrades and the first frame ... Klein and D Murray, “Parallel Trackingand Mapping for Small AR Workspaces,” Proc Int’l Symp Mixed and Augmented Reality (ISMAR ’07), pp 225-234, 2007 V Lepetit, P Lagger, and P Fua, “Randomized...
... database is generated to train the SVM and made public The proposed vehicle detectionandtracking method is proven to outperform existing methods and to successfully handle challenging situations in ... characterize the environment and understand the scene Typical problems include ego-motion estimation, obstacle detection, and object localization, monitoring, and tracking, which are usually addressed ... vehicle detectionandtracking over a wide variety of video sequences 7.1 Experiments on vehicle detection The SVM-based classifier for vehicle detection explained in Section has been trained and...
... investigated and utilized in model-based algorithms and extended gradient-based algorithms Sudhir et al [13] and Clifford and Nasrabadi [14] used Markov random fields to combine the stereo and motion ... constant The tracking results of the longitudinal distance and relative speed are shown in Figures 5(a) and 5(b) The lateral and vertical relative speeds are shown in Figures 5(c) and 5(d) In ... left edge image and a candidate point at position (ir , j) in the right image, the differences of the motion displacements in horizontal and vertical directions, MVDx (il , j) and MVD y (il ,...
... performing joint detectionandtracking of the two targets, the algorithm assumes a priori that two targets are always present in the scene and performs targettracking only The two targets are preacquired ... when a target leaves the image and indicate that there is no target present until a new target appears and (3), when a new target enters the scene, correctly detect that the target is present and ... 1(a) and 1(b) and Figures 2(a) and 2(b) corresponds to a [0, 24] meter range in the axes of Figures 3(a) and 3(b) In this particular example, the target leaves the scene at frame 31 and no target...
... Torres, and J Miller, “MicroRNA target motif detection using OSCR,” Tech Rep GRC223, GE Research, Niskayuna, NY, USA, 2006 [13] M Li and P Vit´ nyi, Introduction to Kolmogorov Complexity a and Applications, ... time and memory by gathering phrase statistics in a single pass and subsequently selecting multiple codebook phrases Our data structure incorporates candidate phrase frequency information and ... appropriate model costs and tractable computation of model inference Hence, OSCR has been improved and optimized through additional heuristics and a streamlined architecture and renamed MDLcompress,...
... detecting andtracking faces,” in Proceedings of the 2nd Canadian Conference on Computer and Robot Vision, pp 306–313, Victoria, BC, Canada, May 2005 [3] B Wu and R Nevatia, Detectionandtracking ... namely, detectionandtracking performance measures We chose as detection measures precision P and recall R, which are designed to quantify the ability of an algorithm to identify true targets ... that integrates detections and particle filtering (referred to as PFI) with the EURASIP Journal on Image and Video Processing Table 2: Comparison of tracking performance (means and standard deviations...
... the research contributions and directions for future work Chapter Background: DetectionandTracking This chapter presents a literature review of both detectionandtracking methods, followed ... to detect and track people in dense crowds 2.1 Related Work Here, we present several detectionandtracking approaches, where the detection methods could be spatial or temporal andtracking could ... approach for detectionandtracking is feature-based, being the most suitable for dense crowds Similar to the approach in [19], the detectionandtracking modules are separated and independent...
... DetectionandTracking The ball detectionandtracking problem is a special case of the general object detectionandtracking problem so we first give the survey in general object detectionand ... detectionandtracking Then we give the survey in ball detectionandtracking 2.4.1 Previous Work on General Object DetectionandTracking There have been many object detectionandtracking algorithms ... tracking Then it 28 gives surveys in general object detectionandtrackingand ball detectionandtracking The algorithms for general object detectionandtracking have developed many effective techniques...
... Gader, Correlation based land mine detection using GPR, in SPIE Defense and Security Symposium, Detectionand Remediation Technologies for Mines and Mine like Targets, Orlando, USA, (24-28 April ... Defense and Security Symposium, Detectionand Remediation Technologies for Mines and Mine like Targets, Orlando, USA (13-17 April 2009) DJ Daniels, P Curtis, O Lockwood, Classification of landmines ... 25 26 using GPR B-scan data, in SPIE Defense and Security Symposium, Detectionand Remediation Technologies for Mines and Mine like Targets IX Orlando (2004), 905–912 TG Savelyev, LV Kampen,...
... Indeed, some form of change detection is also needed In this section, we'll take what we've learned about locking anddetectionand formulate two pessimistic solutions and one optimistic solution ... statement and commits: update set where and person first_name = 'Tim' person_id = first_name = 'Tom'; Session two then executes the following UPDATE statement and commits: update set where and person ... tactics you can employ for detection Let me clarify that we are no longer discussing locking, but detectionDetection is mutually exclusive of locking The first two detection tactics we will discuss...
... Signal Detection: Known Gains • Signal Detection: Unknown Gains • Signal Detection: Random Gains • Signal Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: Known Gains and Known ... provides a brief and limited overview of some of the theory and practice of signal detectionand classification The focus will be on the Gaussian observation model For more details and examples see ... testing [1], invariant hypothesis testing [8, 9], sequential detection [10], simultaneous detectionand estimation [11], and nonparametric detection [12] Detailed discussion of these strategies is...
... Signal Detection: Known Gains • Signal Detection: Unknown Gains • Signal Detection: Random Gains • Signal Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: Known Gains and Known ... provides a brief and limited overview of some of the theory and practice of signal detectionand classification The focus will be on the Gaussian observation model For more details and examples see ... testing [1], invariant hypothesis testing [8, 9], sequential detection [10], simultaneous detectionand estimation [11], and nonparametric detection [12] Detailed discussion of these strategies is...
... Signal Detection: Known Gains • Signal Detection: Unknown Gains • Signal Detection: Random Gains • Signal Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: Known Gains and Known ... provides a brief and limited overview of some of the theory and practice of signal detectionand classification The focus will be on the Gaussian observation model For more details and examples see ... testing [1], invariant hypothesis testing [8, 9], sequential detection [10], simultaneous detectionand estimation [11], and nonparametric detection [12] Detailed discussion of these strategies is...
... Fall 1999 Lecture-09 Error Sources, Detectionand Correction Error Detection Methods: • Parity Checking The oldest, simplest and least effective method of error detection is parity checking One ... Error Sources, Detectionand Correction Error Prevention: • Shielding (p.140) Covering a cable or equipment with a grounded metallic conductor shields it from electrical noise, and prevents it ... cables, fluorescent lights, and electrical machinery) • Changing Multiplexing Techniques - changing frequencies or guard bands • Improving Connection Quality • Amplifiers and Repeaters Amplifiers...
... detection is still being defined as vendors migrate more and more IDS code into the firewall appliance The Firewall as the IPS With the increased market desire to go beyond simple intrusion detection ... helps significantly improve the deterrent capabilities and the defenses of a network With alarms from firewalls, dedicated IDS appliances, and host IPS agents, a strong correlation can be made ... excellent sensor in that it is directly in-line with the traffic flow and has the capability to capture all traffic destined for target hosts located behind the firewall Combined with other IDS devices,...
... applications require that errors be detected and corrected 10.2 10-1 INTRODUCTION Let us first discuss some issues related, directly or indirectly, to error detectionand correction Topics discussed in ... coding In this coding scheme, k = and n = As we saw, we have 2k = 16 datawords and 2n = 32 codewords We saw that 16 out of 32 codewords are used for message transfer and the rest are either used for ... unused 10.15 Figure 10.6 Process of error detection in block coding 10.16 Example 10.2 Let us assume that k = and n = Table 10.1 shows the list of datawords and codewords Later, we will see how to...
... the reparandum and repair intervals, while extending its possible acoustic and prosodic manifestations Identifying the Reparandum Interval Our acoustic and prosodic analysis of the reparandum interval ... (Cooper and Sorenson, 1977; Gee and Grosjean, 1983; Selkirk, 1984), especially the relative inviolability of noun phrases (Wang and Hirschberg, 1992), and the length of prosodic phrases (Gee and ... utterances 6We performed the same analysis for the last and first syllables in the reparandum and repair, respectively, and for normalized f0 and energy; results did not substantially differ from...