… , we propose a triangular chain closed-loop detection network to improve detection in the
case of … pedestrians and increasing the feature utilization. Because the head bounding box …

… pedestrian detectors based on tracklets (chains of tracked samples). First, a generic pedestrian
detector … triangulation is used to estimate sizes of pedestrians within each triangle (Fig.4(c…

… of the sequence with all nodes are linked by a chain. Bidirectional RNN (Bi-RNN) and Long
Short-… (The circle represents traditional algorithms, and the triangle represents deep learning …

… Straight edge chains are approximated … detect a triangle is first to detect incenters using
Baccu, then to associate each of them to a triplet of vertices using Vaccu. An incenter is detected …

… compute Triangle filters for feature extraction based on four integral images. The 2D Triangle
… A comparison of Haar-like filters and the new Triangle filters is given by means of empirical …

This paper brings significant contributions to the field of pedestrian detection by learning
probabilistic dependencies and contextual information that draw special attention to the human …

… edges of a child chain may receive all three kinds of weights. The chains of the root triangle
also receive only bay-size weights. For each child chain of a nonroot triangle, we normalize …

… disparity estimation technique, pedestrian detection is performed via a … This pedestrian
detection technique requires no external … In addition, this thesis presents a continuous detect-and-…

… First, this paper reviews pedestrian detection methods based … Some reviews on pedestrian
detection have been conducted … (a vector built with the triangular upper part of the covariance …

… milestone algorithm in pedestrian detection and a typical two-stage pedestrian detector. As
… benchmark network in pedestrian detection, and many pedestrian detectors based on Faster …