Nec Corporation

Nagma Samreen Khan

Masayuki Ariyoshi

Kazumine Ogura

Eric Cosatto

Toshiyuki Nomura

Shingo Yamanouchi

Tatsuya Sumiya

A target object detection apparatus () includes an acquisition unit (), a likelihood information generation unit (), and a determination unit (). The acquisition unit () acquires an IF signal from an irradiation apparatus () at a plurality of timings. The likelihood information generation unit () executes, by processing the IF signal, processing of generating, with respect to each of a plurality of IF signals, likelihood information for a region (hereinafter, referred to as a target object region) having a possibility in that an accompaniment, i.e., a target object is present. The likelihood information indicates a distribution of presence probabilities of a target object in at least a height direction in a target object region. Then, the determination unit () determines a presence or absence of a target object, by using likelihood information generated for each of a plurality of target object regions.

Target object detection apparatus, target object detection method, and non-transitory computer readable medium

A peak label object detection system (PLODS) includes an object size database configured to store information related to object size for a plurality of objects. The PLODS further includes a three-dimensional (3D) sensor database configured to store information related to parameters of a 3D sensor. The PLODS further includes an annotation database configured to store ground truth annotation information for images. The PLODS further includes a peak shape parameter calculator configured to determine a peak label size based on object size from the object size database and the parameters of the 3D sensor. The PLODS further includes a label generator configured to generate a peak labels map based on label size and the ground truth annotation information.

Peak label object detection system and method of using

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Tokyo, Japan

Nagma Samreen Khan