Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …

In this paper, we show that tracking different kinds of interacting objects can be formulated
as a network-flow mixed integer program. This is made possible by tracking all objects …

In this paper, we propose to use the deep learning technique for abnormal event detection
by extracting spatiotemporal features from video sequences. Human eyes are often attracted …

In this paper, we show that tracking different kinds of interacting objects can be formulated
as a network-flow Mixed Integer Program. This is made possible by tracking all objects …

Minimum-cost flow algorithms have recently achieved state-of-the-art results in multi-object
tracking. However, they rely on the whole image sequence as input. When deployed in real …

Over the last couple of years, object detection and tracking reserachers have been
developing many new techniques, which has been used widely by others. In this article, we …

Tracking humans that are interacting with the other subjects or environment remains
unsolved in visual tracking, because the visibility of the human of interests in videos is …

(57) ABSTRACT A computing device includes a communication interface, a memory, and
processing circuitry. The processing circuitry is coupled to the communication interface and …

Reliable depth perception eases and enables a large variety of attentional and interactive
behaviors on humanoid robots. However, the use of depth in real-world scenarios is …

Multiple people tracking is a key problem for many applications such as surveillance,
animation or car navigation, and a key input for tasks such as activity recognition. In crowded …