Essays about: "Multi-Object tracking"

Showing result 11 - 13 of 13 essays containing the words Multi-Object tracking.

1. 11. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms

   University essay from Linköpings universitet/Reglerteknik

   Author : Albin Vestin; Gustav Strandberg; [2019]
   Keywords : evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking;

   Abstract : Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. READ MORE

3. 12. Automated Entry System using Multi-Object Tracking

   University essay from Lunds universitet/Matematik LTH

   Author : Adam Jalkemo; Emil Westenius; [2017]
   Keywords : Multi-Object tracking; Pedestrian tracking; Pedestrian detection; Mathematics and Statistics;

   Abstract : In this thesis we employ computer vision methods in order to extend and improve the functionality of automatic doors. This thesis is based around the implementation of a door entrance system which uses information from detected pedestrians to make qualified decisions regarding door activation. READ MORE

4. 13. Evaluation of TLD/Predator algorithm : Evaluation of TLD(aka Predator) algorithm used for real-time tracking of unknownobjects in a video stream from eye tracking perspective.

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : BALACHANDER CHOKKALINGAM; [2013]
   Keywords : ;

   Abstract : Abstract TLD is an award-winning, real-time algorithm for long-term tracking of unknown objects in video streams. The object of interest is defined by a bounding box in a single frame. TLD simultaneously tracks the object, Learns its appearance and Detects it whenever it appears in the video. READ MORE